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  -- Table structure for table `videos`
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  CREATE TABLE `videos` (
    `id` int(11) NOT NULL,
    `title` varchar(1000) NOT NULL,
    `url` varchar(1000) NOT NULL,
    `view_count` int(11) NOT NULL,
    `is_clip` int(11) NOT NULL,
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  --
  -- Dumping data for table `videos`
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  INSERT INTO `videos` (`id`, `title`, `url`, `view_count`, `is_clip`, `parent_id`, `description_url`, `img_url`) VALUES
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  (2, 'Kmeans Clustering', '/videos/1/2.mp4', 46, 0, 0, '', '/videos/1/2.mp4.jpg'),
  (3, 'Bagging and Boosting', '/videos/1/3.mp4', 8, 0, 0, '', '/videos/1/3.mp4.jpg'),
  (4, 'Introduction to Decision Trees', '/videos/1/4.mp4', 9, 0, 0, '', '/videos/1/4.mp4.jpg'),
  (5, 'Multilayer Neural Network', '/videos/1/5.mp4', 6, 0, 0, '', '/videos/1/5.mp4.jpg'),
  (6, 'Feature Selection', '/videos/1/6.mp4', 8, 0, 0, '', '/videos/1/6.mp4.jpg'),
  (7, 'Naive Bayes', '/videos/1/7.mp4', 7, 0, 0, '', '/videos/1/7.mp4.jpg'),
  (8, 'Introduction Support Vector Machine', '/videos/1/8.mp4', 14, 0, 0, '', '/videos/1/8.mp4.jpg'),
  (9, 'Feature Extraction', '/videos/1/9.mp4', 6, 0, 0, '', '/videos/1/9.mp4.jpg'),
  (10, 'Hypothesis Space and Inductive Bias', '/videos/1/10.mp4', 15, 0, 0, '', '/videos/1/10.mp4.jpg'),
  (11, 'Deep Neural Network', '/videos/1/11.mp4', 12, 0, 0, '', '/videos/1/11.mp4.jpg'),
  (12, 'Tutorial II', '/videos/1/12.mp4', 2, 0, 0, '', '/videos/1/12.mp4.jpg'),
  (13, 'SVM - Maximum Margin with Noise', '/videos/1/13.mp4', 13, 0, 0, '', '/videos/1/13.mp4.jpg'),
  (14, 'Python Exercise on Naive Bayes', '/videos/1/14.mp4', 5, 0, 0, '', '/videos/1/14.mp4.jpg'),
  (15, 'VC Dimension', '/videos/1/15.mp4', 2, 0, 0, '', '/videos/1/15.mp4.jpg'),
  (16, 'Sample Complexity - Finite Hypothesis Space', '/videos/1/16.mp4', 1, 0, 0, '', '/videos/1/16.mp4.jpg'),
  (17, 'mod03lec18', '/videos/1/17.mp4', 1, 0, 0, '', '/videos/1/17.mp4.jpg'),
  (18, 'Introduction', '/videos/1/18.mp4', 5, 0, 0, '', '/videos/1/18.mp4.jpg'),
  (19, 'Bayesian Learning', '/videos/1/19.mp4', 11, 0, 0, '', '/videos/1/19.mp4.jpg'),
  (20, 'Tutorial08', '/videos/1/20.mp4', 2, 0, 0, '', '/videos/1/20.mp4.jpg'),
  (21, 'Agglomerative Hierarchical Clustering', '/videos/1/21.mp4', 4, 0, 0, '', '/videos/1/21.mp4.jpg'),
  (22, 'Tutorial I', '/videos/1/22.mp4', 8, 0, 0, '', '/videos/1/22.mp4.jpg'),
  (23, 'Bayesian Network', '/videos/1/23.mp4', 11, 0, 0, '', '/videos/1/23.mp4.jpg'),
  (24, 'Introduction to Ensembles', '/videos/1/24.mp4', 2, 0, 0, '', '/videos/1/24.mp4.jpg'),
  (25, 'SVM - The Dual Formulation', '/videos/1/25.mp4', 8, 0, 0, '', '/videos/1/25.mp4.jpg'),
  (26, 'Introduction', '/videos/1/26.mp4', 1, 0, 0, '', '/videos/1/26.mp4.jpg'),
  (27, 'Python Exercise on Neural Network', '/videos/1/27.mp4', 2, 0, 0, '', '/videos/1/27.mp4.jpg'),
  (28, 'Introduction to Clustering', '/videos/1/28.mp4', 4, 0, 0, '', '/videos/1/28.mp4.jpg'),
  (29, 'Tutorial VI', '/videos/1/29.mp4', 3, 0, 0, '', '/videos/1/29.mp4.jpg'),
  (30, 'Python Exercise on kNN and PCA', '/videos/1/30.mp4', 4, 0, 0, '', '/videos/1/30.mp4.jpg'),
  (31, 'k-Nearest Neighbour', '/videos/1/31.mp4', 2, 0, 0, '', '/videos/1/31.mp4.jpg'),
  (32, 'Evaluation and Cross-Validation', '/videos/1/32.mp4', 3, 0, 0, '', '/videos/1/32.mp4.jpg'),
  (33, 'Introduction', '/videos/1/33.mp4', 4, 0, 0, '', '/videos/1/33.mp4.jpg'),
  (34, 'Different Types of Learning', '/videos/1/34.mp4', 24, 0, 0, '', '/videos/1/34.mp4.jpg'),
  (35, 'Python Exercise on SVM', '/videos/1/35.mp4', 3, 0, 0, '', '/videos/1/35.mp4.jpg'),
  (36, 'Nonlinear SVM and Kernel Function', '/videos/1/36.mp4', 8, 0, 0, '', '/videos/1/36.mp4.jpg'),
  (37, 'Learning Decision Tree', '/videos/1/37.mp4', 3, 0, 0, '', '/videos/1/37.mp4.jpg'),
  (38, 'Neural Network and Backpropagation Algorithm', '/videos/1/38.mp4', 4, 0, 0, '', '/videos/1/38.mp4.jpg'),
  (39, 'Tutorial IV', '/videos/1/39.mp4', 4, 0, 0, '', '/videos/1/39.mp4.jpg'),
  (40, 'Introduction to Computational Learning Theory', '/videos/1/40.mp4', 3, 0, 0, '', '/videos/1/40.mp4.jpg'),
  (41, 'Python Exercise on kmeans clustering', '/videos/1/41.mp4', 3, 0, 0, '', '/videos/1/41.mp4.jpg'),
  (42, 'Collaborative Filtering', '/videos/1/42.mp4', 3, 0, 0, '', '/videos/1/42.mp4.jpg'),
  (43, 'SVM - Solution to the Dual Problem', '/videos/1/43.mp4', 2, 0, 0, '', '/videos/1/43.mp4.jpg'),
  (44, 'Logistic Regression', '/videos/1/44.mp4', 7, 0, 0, '', '/videos/1/44.mp4.jpg'),
  (45, 'Python Exercise on Decision Tree and Linear Regression', '/videos/1/45.mp4', 2, 0, 0, '', '/videos/1/45.mp4.jpg'),
  (46, 'Tutorial III', '/videos/1/46.mp4', 2, 0, 0, '', '/videos/1/46.mp4.jpg'),
  (47, 'Linear Regression', '/videos/1/47.mp4', 18, 0, 0, '', '/videos/1/47.mp4.jpg'),
  (48, 'Lecture 6.2 â€” Logistic Regression _ Hypothesis Representation â€” [ Machine Learning _ Andrew Ng]', '/videos/2/1.mp4', 0, 0, 0, '', '/videos/2/1.mp4.jpg'),
  (49, 'Lecture 16.4 â€”  Recommender Systems _ Collaborative Filtering Algorithm â€” [ Andrew Ng ]', '/videos/2/2.mp4', 0, 0, 0, '', '/videos/2/2.mp4.jpg'),
  (50, 'Lecture 10.4 â€” Advice For Applying Machine Learning _ Diagnosing Bias Vs Variance â€” [Andrew Ng]', '/videos/2/3.mp4', 0, 0, 0, '', '/videos/2/3.mp4.jpg'),
  (51, 'Lecture 1.2 â€” Introduction Supervised Learning â€” [ Machine Learning _ Andrew Ng ]', '/videos/2/4.mp4', 0, 0, 0, '', '/videos/2/4.mp4.jpg'),
  (52, 'Lecture 5.3 â€”  Octave Tutorial _ Computing On Data â€” [ Machine Learning _ Andrew Ng]', '/videos/2/5.mp4', 0, 0, 0, '', '/videos/2/5.mp4.jpg'),
  (53, 'Lecture 16.5 â€”  Recommender Systems _ Vectorization Low Rank Matrix Factorization â€” [ Andrew Ng ]', '/videos/2/6.mp4', 0, 0, 0, '', '/videos/2/6.mp4.jpg'),
  (54, 'Lecture 15.8 â€” Anomaly Detection _ Anomaly Detection Using The Multivariate Gaussian Distribution', '/videos/2/7.mp4', 0, 0, 0, '', '/videos/2/7.mp4.jpg'),
  (55, 'Lecture 18.3 â€” Application Example Photo OCR _ Getting Lots Of Data Artificial Data Synthesis', '/videos/2/8.mp4', 0, 0, 0, '', '/videos/2/8.mp4.jpg'),
  (56, 'Lecture 2.3 â€” Linear Regression With One Variable _ Cost Function Intuition #1 _ Andrew Ng', '/videos/2/9.mp4', 0, 0, 0, '', '/videos/2/9.mp4.jpg'),
  (57, 'Lecture 14.3 â€” Dimensionality Reduction _ Principal Component Analysis _ Problem Formulation', '/videos/2/10.mp4', 0, 0, 0, '', '/videos/2/10.mp4.jpg'),
  (58, 'Lecture 2.2 â€” Linear Regression With One Variable _ CostFunction â€” Andrew Ng', '/videos/2/11.mp4', 0, 0, 0, '', '/videos/2/11.mp4.jpg'),
  (59, 'Lecture 7.1 â€” Regularization _ The Problem Of Overfitting â€” [ Machine Learning _ Andrew Ng]', '/videos/2/12.mp4', 0, 0, 0, '', '/videos/2/12.mp4.jpg'),
  (60, 'Lecture 13.4 â€”  Clustering _ Random Initialization â€” [ Machine Learning _ Andrew Ng ]', '/videos/2/13.mp4', 0, 0, 0, '', '/videos/2/13.mp4.jpg'),
  (61, 'Lecture 12.5 â€” Support Vector Machines _ (Kernels-II) â€” [Machine Learning _ Andrew Ng]', '/videos/2/14.mp4', 0, 0, 0, '', '/videos/2/14.mp4.jpg'),
  (62, 'Lecture 13.3 â€”  Clustering _ Optimization Objective â€” [ Machine Learning _ Andrew Ng ]', '/videos/2/15.mp4', 0, 0, 0, '', '/videos/2/15.mp4.jpg'),
  (63, 'Lecture 14.7 â€” Dimensionality Reduction _ Advice For Applying PCA â€” [ Machine Learning _ Andrew Ng ]', '/videos/2/16.mp4', 2, 0, 0, '', '/videos/2/16.mp4.jpg'),
  (64, 'Lecture 15.5 â€” Anomaly Detection _ Anomaly Detection Vs Supervised Learning â€” [ Andrew Ng ]', '/videos/2/17.mp4', 1, 0, 0, '', '/videos/2/17.mp4.jpg'),
  (65, 'Lecture 13.5 â€”  Clustering _ Choosing The Number Of Clusters â€” [ Machine Learning _ Andrew Ng ]', '/videos/2/18.mp4', 1, 0, 0, '', '/videos/2/18.mp4.jpg'),
  (66, 'Lecture 2.4 â€” Linear Regression With One Variable _ Cost Function Intuition #2 _ Andrew Ng', '/videos/2/19.mp4', 15, 0, 0, '', '/videos/2/19.mp4.jpg'),
  (67, 'Lecture 11.4 â€” Machine Learning System Design _ Trading Off Precision And Recall â€” [Andrew Ng]', '/videos/2/20.mp4', 0, 0, 0, '', '/videos/2/20.mp4.jpg'),
  (68, 'Lecture 2.7 â€” Linear Regression With One Variable _ Gradient Descent For Linear Regression', '/videos/2/21.mp4', 1, 0, 0, '', '/videos/2/21.mp4.jpg'),
  (69, 'Lecture 5.5 â€”  Octave Tutorial _ While If Statements And Functions â€” [ Andrew Ng ]', '/videos/2/22.mp4', 0, 0, 0, '', '/videos/2/22.mp4.jpg'),
  (70, 'Lecture 1.1 â€” Introduction What Is Machine Learning â€” [ Machine Learning _ Andrew Ng ]', '/videos/2/23.mp4', 0, 0, 0, '', '/videos/2/23.mp4.jpg'),
  (71, 'Lecture 16.6 â€”  Recommender Systems _ Implementational Detail Mean Normalization â€” [ Andrew Ng ]', '/videos/2/24.mp4', 0, 0, 0, '', '/videos/2/24.mp4.jpg'),
  (72, 'Lecture 11.5 â€” Machine Learning System Design _ Data For Machine Learning â€” [Andrew Ng]', '/videos/2/25.mp4', 0, 0, 0, '', '/videos/2/25.mp4.jpg'),
  (73, 'Lecture 2.6 â€” Linear Regression With One Variable _ Gradient Descent Intuition â€” [ Andrew Ng]', '/videos/2/26.mp4', 0, 0, 0, '', '/videos/2/26.mp4.jpg'),
  (74, 'Lecture 11.1 â€” Machine Learning System Design _ Prioritizing What To Work On â€” [ Andrew Ng]', '/videos/2/27.mp4', 0, 0, 0, '', '/videos/2/27.mp4.jpg'),
  (75, 'Lecture 1.3 â€” Introduction Unsupervised Learning â€” [ Machine Learning _ Andrew Ng]', '/videos/2/28.mp4', 0, 0, 0, '', '/videos/2/28.mp4.jpg'),
  (76, 'Lecture 16.1 â€”  Recommender Systems _ Problem Formulation â€” [ Machine Learning _ Andrew Ng ]', '/videos/2/29.mp4', 0, 0, 0, '', '/videos/2/29.mp4.jpg'),
  (77, 'Lecture 6.6 â€” Logistic Regression _ Advanced Optimization â€” [ Machine Learning _ Andrew Ng]', '/videos/2/30.mp4', 0, 0, 0, '', '/videos/2/30.mp4.jpg'),
  (78, 'Lecture 4.5 â€” Linear Regression With Multiple Variables _ Features And Polynomial Regression', '/videos/2/31.mp4', 0, 0, 0, '', '/videos/2/31.mp4.jpg'),
  (79, 'Lecture 4.2 â€” Linear Regression With Multiple Variables -- (Gradient Descent For Multiple Variables)', '/videos/2/32.mp4', 0, 0, 0, '', '/videos/2/32.mp4.jpg'),
  (80, 'Lecture 6.7 â€” Logistic Regression _ MultiClass Classification OneVsAll â€” [Andrew Ng]', '/videos/2/33.mp4', 0, 0, 0, '', '/videos/2/33.mp4.jpg'),
  (81, 'Lecture 4.1 â€” Linear Regression With Multiple Variables - (Multiple Features) â€” [ Andrew Ng]', '/videos/2/34.mp4', 0, 0, 0, '', '/videos/2/34.mp4.jpg'),
  (82, 'Lecture 2.1 â€” Linear Regression With One Variable _ Model Representation â€” Andrew Ng', '/videos/2/35.mp4', 0, 0, 0, '', '/videos/2/35.mp4.jpg'),
  (83, 'Lecture 3.1 â€” Linear Algebra Review _ Matrices And Vectors â€” [ Machine Learning _ Andrew Ng]', '/videos/2/36.mp4', 0, 0, 0, '', '/videos/2/36.mp4.jpg'),
  (84, 'Lecture 8.5 â€” Neural Networks Representation _ Examples And Intuitions-I â€” [ Andrew Ng]', '/videos/2/37.mp4', 0, 0, 0, '', '/videos/2/37.mp4.jpg'),
  (85, 'Lecture 18.4 â€” Application Example Photo OCR _ Ceiling Analysis _ What Part to Work On Next', '/videos/2/38.mp4', 0, 0, 0, '', '/videos/2/38.mp4.jpg'),
  (86, 'Lecture 9.1 â€” Neural Networks Learning _ Cost Function â€” [ Machine Learning _ Andrew Ng]', '/videos/2/39.mp4', 0, 0, 0, '', '/videos/2/39.mp4.jpg'),
  (87, 'Lecture 11.3 â€” Machine Learning System Design _ Error Metrics For Skewed Classes â€” [Andrew Ng]', '/videos/2/40.mp4', 0, 0, 0, '', '/videos/2/40.mp4.jpg'),
  (88, 'Lecture 13.2 â€”  Clustering _ KMeans Algorithm â€” [ Machine Learning _ Andrew Ng ]', '/videos/2/41.mp4', 2, 0, 0, '', '/videos/2/41.mp4.jpg'),
  (89, 'Lecture 10.5 â€” Advice For Applying Machine Learning _ Regularization And Bias Variance â€” [Andrew Ng]', '/videos/2/42.mp4', 1, 0, 0, '', '/videos/2/42.mp4.jpg'),
  (90, 'Lecture 12.2 â€” Support Vector Machines _ Large Margin Intuition â€” [Machine Learning _ Andrew Ng]', '/videos/2/43.mp4', 0, 0, 0, '', '/videos/2/43.mp4.jpg'),
  (91, 'Lecture 6.1 â€” Logistic Regression _ Classification â€” â€” [ Machine Learning _ Andrew Ng]', '/videos/2/44.mp4', 0, 0, 0, '', '/videos/2/44.mp4.jpg'),
  (92, 'Lecture 12.3 â€” Support Vector Machines _ Mathematics Behind Large Margin Classification (Optional)', '/videos/2/45.mp4', 0, 0, 0, '', '/videos/2/45.mp4.jpg'),
  (93, 'Lecture 2.5 â€” Linear Regression With One Variable _ Gradient Descent â€” [ Andrew Ng]', '/videos/2/46.mp4', 0, 0, 0, '', '/videos/2/46.mp4.jpg'),
  (94, 'Lecture 3.6 â€” Linear Algebra Review _  Inverse And Transpose â€” [ Machine Learning _ Andrew Ng]', '/videos/2/47.mp4', 0, 0, 0, '', '/videos/2/47.mp4.jpg'),
  (95, 'Lecture 9.8 â€” Neural Networks Learning _ Autonomous Driving Example â€” [Andrew Ng]', '/videos/2/48.mp4', 0, 0, 0, '', '/videos/2/48.mp4.jpg'),
  (96, 'Lecture 10.7 â€” Advice For Applying Machine Learning _ Deciding What To Do Next (Revisited)', '/videos/2/49.mp4', 0, 0, 0, '', '/videos/2/49.mp4.jpg'),
  (97, 'Lecture 17.3 â€” Large Scale Machine Learning _ Mini Batch Gradient Descent â€” [ Andrew Ng ]', '/videos/2/50.mp4', 0, 0, 0, '', '/videos/2/50.mp4.jpg'),
  (98, 'Lecture 14.1 â€” Dimensionality Reduction Motivation I _ Data Compression â€” [ Andrew Ng ]', '/videos/2/51.mp4', 1, 0, 0, '', '/videos/2/51.mp4.jpg'),
  (99, 'Lecture 5.1 â€”  Octave Tutorial _ Basic Operations â€” [ Machine Learning _ Andrew Ng]', '/videos/2/52.mp4', 0, 0, 0, '', '/videos/2/52.mp4.jpg'),
  (100, 'Lecture 10.6 â€” Advice For Applying Machine Learning _ Learning Curves â€” [Andrew Ng]', '/videos/2/53.mp4', 0, 0, 0, '', '/videos/2/53.mp4.jpg'),
  (101, 'Lecture 8.1 â€” Neural Networks Representation _ Non Linear Hypotheses â€” [Andrew Ng]', '/videos/2/54.mp4', 0, 0, 0, '', '/videos/2/54.mp4.jpg'),
  (102, 'Lecture 15.4 â€” Anomaly Detection _ Developing And Evaluating An Anomaly Detection System', '/videos/2/55.mp4', 0, 0, 0, '', '/videos/2/55.mp4.jpg'),
  (103, 'Lecture 4.7 â€” Linear Regression With Multiple Variables _ Normal Equation Non Invertibility', '/videos/2/56.mp4', 0, 0, 0, '', '/videos/2/56.mp4.jpg'),
  (104, 'Lecture 8.7 â€” Neural Networks Representation _ MultiClass Classification â€” [Andrew Ng]', '/videos/2/57.mp4', 0, 0, 0, '', '/videos/2/57.mp4.jpg'),
  (105, 'Lecture 5.4 â€”  Octave Tutorial _  Plotting Data â€” [ Machine Learning _ Andrew Ng]', '/videos/2/58.mp4', 1, 0, 0, '', '/videos/2/58.mp4.jpg'),
  (106, 'Lecture 3.4 â€” Linear Algebra Review _  Matrix-Matrix Multiplication â€” [ Andrew Ng ]', '/videos/2/59.mp4', 0, 0, 0, '', '/videos/2/59.mp4.jpg'),
  (107, 'Lecture 9.4 â€” Neural Networks Learning _ Implementation Note Unrolling Parameters â€” [ Andrew Ng]', '/videos/2/60.mp4', 0, 0, 0, '', '/videos/2/60.mp4.jpg'),
  (108, 'Lecture 4.3 â€” Linear Regression With Multiple Variables _ Gradient In PracticeaI Feature Scaling', '/videos/2/61.mp4', 0, 0, 0, '', '/videos/2/61.mp4.jpg'),
  (109, 'Lecture 12.4 â€” Support Vector Machines _ (Kernels-I) â€” [ Machine Learning _ Andrew Ng]', '/videos/2/62.mp4', 0, 0, 0, '', '/videos/2/62.mp4.jpg'),
  (110, 'Lecture 15.3 â€” Anomaly Detection Algorithm â€” [ Machine Learning _ Andrew Ng _ Stanford University ]', '/videos/2/63.mp4', 0, 0, 0, '', '/videos/2/63.mp4.jpg'),
  (111, 'Lecture 19 â€” Conclusion Summary And ThankYou â€” [ Andrew Ng _ Stanford University ]', '/videos/2/64.mp4', 0, 0, 0, '', '/videos/2/64.mp4.jpg'),
  (112, 'Lecture 16.2 â€”  Recommender Systems _ Content Based Recommendations â€” [ Andrew Ng ]', '/videos/2/65.mp4', 0, 0, 0, '', '/videos/2/65.mp4.jpg'),
  (113, 'Lecture 8.6 â€” Neural Networks Representation _ Examples And Intuitions-II â€” [ Andrew Ng]', '/videos/2/66.mp4', 0, 0, 0, '', '/videos/2/66.mp4.jpg'),
  (114, 'Lecture 10.2 â€” Advice For Applying Machine Learning _ Evaluating A Hypothesis â€” [ Andrew Ng]', '/videos/2/67.mp4', 0, 0, 0, '', '/videos/2/67.mp4.jpg'),
  (115, 'Lecture 17.6 â€” Large Scale Machine Learning _ Map Reduce And Data Parallelism â€” [ Andrew Ng ]', '/videos/2/68.mp4', 0, 0, 0, '', '/videos/2/68.mp4.jpg'),
  (116, 'Lecture 13.1 â€”  Clustering _ Unsupervised Learning _ Introduction â€” [ Andrew Ng ]', '/videos/2/69.mp4', 1, 0, 0, '', '/videos/2/69.mp4.jpg'),
  (117, 'Lecture 10.3 â€” Advice For Applying Machine Learning _ Model Selection And Train Validation Test Sets', '/videos/2/70.mp4', 0, 0, 0, '', '/videos/2/70.mp4.jpg'),
  (118, 'Lecture 5.2 â€”  Octave Tutorial _ Moving Data Around â€” [ Machine Learning _ Andrew Ng]', '/videos/2/71.mp4', 0, 0, 0, '', '/videos/2/71.mp4.jpg'),
  (119, 'Lecture 14.4 â€”  Dimensionality Reduction _ Principal Component Analysis Algorithm â€” [ Andrew Ng ]', '/videos/2/72.mp4', 0, 0, 0, '', '/videos/2/72.mp4.jpg'),
  (120, 'Lecture 11.2 â€” Machine Learning System Design _ Error Analysis â€” [ Machine Learning _ Andrew Ng ]', '/videos/2/73.mp4', 0, 0, 0, '', '/videos/2/73.mp4.jpg'),
  (121, 'Lecture 8.4 â€” Neural Networks Representation _ Model Representation-II â€” [Andrew Ng]', '/videos/2/74.mp4', 0, 0, 0, '', '/videos/2/74.mp4.jpg'),
  (122, 'Lecture 14.5 â€” Dimensionality Reduction _ Choosing The Number Of Principal Components', '/videos/2/76.mp4', 0, 0, 0, '', '/videos/2/76.mp4.jpg'),
  (123, 'Lecture 9.3 â€” Neural Networks Learning _ Backpropagation Intuition â€” [ Machine Learning _ Andrew Ng]', '/videos/2/77.mp4', 0, 0, 0, '', '/videos/2/77.mp4.jpg'),
  (124, 'Lecture 8.2 â€” Neural Networks Representation _ Neurons And The Brain â€” [Andrew Ng]', '/videos/2/78.mp4', 0, 0, 0, '', '/videos/2/78.mp4.jpg'),
  (125, 'Lecture 14.2 â€”Dimensionality Reduction Motivation II  _ Visualization â€” [ Andrew Ng ]', '/videos/2/79.mp4', 0, 0, 0, '', '/videos/2/79.mp4.jpg'),
  (126, 'Lecture 16.3 â€”  Recommender Systems _ Collaborative Filtering â€” [ Machine Learning _ Andrew Ng ]', '/videos/2/80.mp4', 0, 0, 0, '', '/videos/2/80.mp4.jpg'),
  (127, 'Lecture 3.3 â€” Linear Algebra Review _ Matrix Vector Multiplication â€” [ Machine Learning _ Andrew Ng]', '/videos/2/81.mp4', 0, 0, 0, '', '/videos/2/81.mp4.jpg'),
  (128, 'Lecture 17.1 â€” Large Scale Machine Learning _ Learning With Large Datasets â€” [ Andrew Ng ]', '/videos/2/82.mp4', 0, 0, 0, '', '/videos/2/82.mp4.jpg'),
  (129, 'Lecture 15.7 â€” Anomaly Detection _ Multivariate Gaussian Distribution â€” [ Andrew Ng ]', '/videos/2/83.mp4', 0, 0, 0, '', '/videos/2/83.mp4.jpg'),
  (130, 'Lecture 18.1 â€” Application Example Photo OCR _ Problem Description And Pipeline â€” [ Andrew Ng ]', '/videos/2/84.mp4', 0, 0, 0, '', '/videos/2/84.mp4.jpg'),
  (131, 'Lecture 14.6 â€” Dimensionality Reduction _ Reconstruction From Compressed Representation', '/videos/2/85.mp4', 0, 0, 0, '', '/videos/2/85.mp4.jpg'),
  (132, 'Lecture 18.2 â€” Application Example Photo OCR _ Sliding Windows â€” [ Machine Learning _ Andrew Ng ]', '/videos/2/86.mp4', 0, 0, 0, '', '/videos/2/86.mp4.jpg'),
  (133, 'Lecture 17.4 â€” Large Scale Machine Learning _ Stochastic Gradient Descent Convergence', '/videos/2/87.mp4', 0, 0, 0, '', '/videos/2/87.mp4.jpg'),
  (134, 'Lecture 3.2 â€” Linear Algebra Review _ Addition And Scalar Multiplication â€” [Andrew Ng]', '/videos/2/88.mp4', 0, 0, 0, '', '/videos/2/88.mp4.jpg'),
  (135, 'Lecture 15.2 â€” Anomaly Detection _ Gaussian Distribution â€” [ Machine Learning _ Andrew Ng ]', '/videos/2/89.mp4', 0, 0, 0, '', '/videos/2/89.mp4.jpg'),
  (136, 'Lecture 12.6 â€” Support Vector Machines _ Using An SVM â€” [ Machine Learning _ Andrew Ng]', '/videos/2/90.mp4', 0, 0, 0, '', '/videos/2/90.mp4.jpg'),
  (137, 'Lecture 7.2 â€” Regularization _ Cost Function â€” [ Machine Learning _ Andrew Ng _ Stanford University]', '/videos/2/91.mp4', 0, 0, 0, '', '/videos/2/91.mp4.jpg'),
  (138, 'Lecture 9.6 â€” Neural Networks Learning _ Random Initialization â€” [ Machine Learning _ Andrew Ng]', '/videos/2/92.mp4', 0, 0, 0, '', '/videos/2/92.mp4.jpg'),
  (139, 'Lecture 10.1 â€” Advice For Applying Machine Learning _ Deciding What To Try Next â€” [ Andrew Ng]', '/videos/2/93.mp4', 0, 0, 0, '', '/videos/2/93.mp4.jpg'),
  (140, 'Lecture 9.7 â€” Neural Networks Learning _ Putting It Together â€” [ Machine Learning _ Andrew Ng]', '/videos/2/94.mp4', 0, 0, 0, '', '/videos/2/94.mp4.jpg'),
  (141, 'Lecture 4.4 â€” Linear Regression With Multiple Variables _ Gradient In PracticeaI _ Learning Rate', '/videos/2/95.mp4', 0, 0, 0, '', '/videos/2/95.mp4.jpg'),
  (142, 'Lecture 7.3 â€” Regularization _ Regularized Linear Regression â€” [ Machine Learning _ Andrew Ng]', '/videos/2/96.mp4', 0, 0, 0, '', '/videos/2/96.mp4.jpg'),
  (143, 'Lecture 6.5 â€” Logistic Regression _ Simplified Cost Function And Gradient Descent â€” [ Andrew Ng]', '/videos/2/97.mp4', 0, 0, 0, '', '/videos/2/97.mp4.jpg'),
  (144, 'Lecture 5.7 â€”  Octave Tutorial _ Programming Exercises â€” [ Machine Learning _ Andrew Ng]', '/videos/2/98.mp4', 0, 0, 0, '', '/videos/2/98.mp4.jpg'),
  (145, 'Lecture 15.1 â€” Anomaly Detection Problem _ Motivation  â€” [ Machine Learning _ Andrew Ng ]', '/videos/2/99.mp4', 0, 0, 0, '', '/videos/2/99.mp4.jpg'),
  (146, 'Lecture 3.5 â€” Linear Algebra Review _ Matrix Multiplication Properties â€” [ Andrew Ng ]', '/videos/2/100.mp4', 0, 0, 0, '', '/videos/2/100.mp4.jpg'),
  (147, 'Lecture 17.2 â€” Large Scale Machine Learning _ Stochastic Gradient Descent â€” [ Andrew Ng ]', '/videos/2/101.mp4', 5, 0, 0, '', '/videos/2/101.mp4.jpg'),
  (148, 'Lecture 17.5 â€” Large Scale Machine Learning _ Online Learning â€” [ Machine Learning _ Andrew Ng ]', '/videos/2/102.mp4', 0, 0, 0, '', '/videos/2/102.mp4.jpg'),
  (149, 'Lecture 6.4 â€” Logistic Regression _ Cost Function â€” [ Machine Learning _ Andrew Ng]', '/videos/2/103.mp4', 0, 0, 0, '', '/videos/2/103.mp4.jpg'),
  (150, 'Lecture 5.6 â€”  Octave Tutorial _  Vectorization â€” [ Machine Learning _ Andrew Ng]', '/videos/2/104.mp4', 0, 0, 0, '', '/videos/2/104.mp4.jpg'),
  (151, 'Lecture 6.3 â€” Logistic Regression _ Decision Boundary â€” [ Machine Learning _ Andrew Ng]', '/videos/2/105.mp4', 0, 0, 0, '', '/videos/2/105.mp4.jpg'),
  (152, 'Lecture 7.4 â€” Regularization _ Regularized Logistic Regression â€” [ Machine Learning _ Andrew Ng]', '/videos/2/106.mp4', 0, 0, 0, '', '/videos/2/106.mp4.jpg'),
  (153, 'Lecture 9.5 â€” Neural Networks Learning _ Gradient Checking â€” [ Machine Learning _ Andrew Ng]', '/videos/2/107.mp4', 0, 0, 0, '', '/videos/2/107.mp4.jpg'),
  (154, 'Lecture 15.6 â€” Anomaly Detection _ Choosing What Features To Use â€” [ Andrew Ng ]', '/videos/2/108.mp4', 0, 0, 0, '', '/videos/2/108.mp4.jpg'),
  (155, 'Lecture 4.6 â€” Linear Regression With Multiple Variables _ Normal Equation â€” [ Andrew Ng]', '/videos/2/109.mp4', 0, 0, 0, '', '/videos/2/109.mp4.jpg'),
  (156, 'Lecture 8.3 â€” Neural Networks Representation _ Model Representation-I â€” [ Andrew Ng ]', '/videos/2/110.mp4', 0, 0, 0, '', '/videos/2/110.mp4.jpg'),
  (157, 'Lecture 9.2 â€” Neural Networks Learning _ Backpropagation Algorithm â€” [ Machine Learning _ Andrew Ng]', '/videos/2/111.mp4', 0, 0, 0, '', '/videos/2/111.mp4.jpg'),
  (158, '(ML 3.1) Decision theory (Basic Framework)', '/videos/3/1.mp4', 0, 0, 0, '', '/videos/3/1.mp4.jpg'),
  (159, '(ML 16.12) The likelihood is nondecreasing under EM (part 2)', '/videos/3/2.mp4', 0, 0, 0, '', '/videos/3/2.mp4.jpg'),
  (160, '(ML 14.5) Hidden Markov models (HMMs) (part 2)', '/videos/3/3.mp4', 0, 0, 0, '', '/videos/3/3.mp4.jpg'),
  (161, '(ML 8.5) Bayesian Naive Bayes (part 3)', '/videos/3/4.mp4', 0, 0, 0, '', '/videos/3/4.mp4.jpg'),
  (162, '(ML 8.6) Bayesian Naive Bayes (part 4)', '/videos/3/5.mp4', 0, 0, 0, '', '/videos/3/5.mp4.jpg'),
  (163, '(ML 19.2) Existence of Gaussian processes', '/videos/3/6.mp4', 0, 0, 0, '', '/videos/3/6.mp4.jpg'),
  (164, '(ML 4.5) MLE for a PMF on a finite set (part 2)', '/videos/3/7.mp4', 0, 0, 0, '', '/videos/3/7.mp4.jpg'),
  (165, '(ML 7.3) Proportionality', '/videos/3/8.mp4', 0, 0, 0, '', '/videos/3/8.mp4.jpg'),
  (166, '(ML 17.9) Smirnov transform (Inverse transform sampling) - general case', '/videos/3/9.mp4', 0, 0, 0, '', '/videos/3/9.mp4.jpg'),
  (167, '(ML 13.6) Graphical model for Bayesian linear regression', '/videos/3/10.mp4', 0, 0, 0, '', '/videos/3/10.mp4.jpg'),
  (168, '(ML 16.3) Expectation-Maximization (EM) algorithm', '/videos/3/11.mp4', 0, 0, 0, '', '/videos/3/11.mp4.jpg'),
  (169, '(ML 3.6) The Big Picture (part 2)', '/videos/3/12.mp4', 0, 0, 0, '', '/videos/3/12.mp4.jpg'),
  (170, '(ML 14.4) Hidden Markov models (HMMs) (part 1)', '/videos/3/13.mp4', 0, 0, 0, '', '/videos/3/13.mp4.jpg'),
  (171, '(ML 1.2) What is supervised learning', '/videos/3/14.mp4', 5, 0, 0, '', '/videos/3/14.mp4.jpg'),
  (172, '(ML 12.7) Cross-validation (part 3)', '/videos/3/15.mp4', 0, 0, 0, '', '/videos/3/15.mp4.jpg'),
  (173, '(ML 7.5) Beta-Bernoulli model (part 1)', '/videos/3/16.mp4', 0, 0, 0, '', '/videos/3/16.mp4.jpg'),
  (174, '(ML 17.12) Rejection sampling - non-uniform case', '/videos/3/17.mp4', 0, 0, 0, '', '/videos/3/17.mp4.jpg'),
  (175, '(ML 12.4) Bayesian model selection', '/videos/3/18.mp4', 0, 0, 0, '', '/videos/3/18.mp4.jpg'),
  (176, '(ML 17.10) Sampling an exponential using Smirnov', '/videos/3/19.mp4', 0, 0, 0, '', '/videos/3/19.mp4.jpg'),
  (177, '(ML 10.5) Predictive distribution for linear regression (part 2)', '/videos/3/20.mp4', 0, 0, 0, '', '/videos/3/20.mp4.jpg'),
  (178, '(ML 2.8) Random forests', '/videos/3/21.mp4', 0, 0, 0, '', '/videos/3/21.mp4.jpg'),
  (179, '(ML 5.1) Exponential families (part 1)', '/videos/3/22.mp4', 0, 0, 0, '', '/videos/3/22.mp4.jpg'),
  (180, '(ML 14.3) Markov chains (discrete-time) (part 2)', '/videos/3/23.mp4', 0, 0, 0, '', '/videos/3/23.mp4.jpg'),
  (181, '(ML 5.3) MLE for an exponential family (part 1)', '/videos/3/24.mp4', 0, 0, 0, '', '/videos/3/24.mp4.jpg'),
  (182, '(ML 10.2) Posterior for linear regression (part 1)', '/videos/3/25.mp4', 0, 0, 0, '', '/videos/3/25.mp4.jpg'),
  (183, '(ML 9.3) Choosing f under linear regression', '/videos/3/26.mp4', 0, 0, 0, '', '/videos/3/26.mp4.jpg'),
  (184, '(ML 19.5) Positive semidefinite kernels (Covariance functions)', '/videos/3/27.mp4', 0, 0, 0, '', '/videos/3/27.mp4.jpg'),
  (185, '(ML 3.7) The Big Picture (part 3)', '/videos/3/28.mp4', 0, 0, 0, '', '/videos/3/28.mp4.jpg'),
  (186, '(ML 1.4) Variations on supervised and unsupervised', '/videos/3/29.mp4', 0, 0, 0, '', '/videos/3/29.mp4.jpg'),
  (187, '(ML 18.6) Detailed balance (a.k.a. Reversibility)', '/videos/3/30.mp4', 0, 0, 0, '', '/videos/3/30.mp4.jpg'),
  (188, '(ML 16.6) Gaussian mixture model (Mixture of Gaussians)', '/videos/3/31.mp4', 0, 0, 0, '', '/videos/3/31.mp4.jpg'),
  (189, '(ML 2.2) Regression trees (CART)', '/videos/3/32.mp4', 0, 0, 0, '', '/videos/3/32.mp4.jpg'),
  (190, '(ML 17.2) Monte Carlo methods - A little history', '/videos/3/33.mp4', 0, 0, 0, '', '/videos/3/33.mp4.jpg'),
  (191, '(ML 13.12) How to use D-separation - illustrative examples (part 1)', '/videos/3/34.mp4', 0, 0, 0, '', '/videos/3/34.mp4.jpg'),
  (192, '(ML 14.10) Underflow and the log-sum-exp trick', '/videos/3/35.mp4', 0, 0, 0, '', '/videos/3/35.mp4.jpg'),
  (193, '(ML 15.3) Logistic regression (binary) - intuition', '/videos/3/36.mp4', 0, 0, 0, '', '/videos/3/36.mp4.jpg'),
  (194, '(ML 7.10) Posterior distribution for univariate Gaussian (part 2)', '/videos/3/37.mp4', 0, 0, 0, '', '/videos/3/37.mp4.jpg'),
  (195, '(ML 7.8) Dirichlet-Categorical model (part 2)', '/videos/3/38.mp4', 0, 0, 0, '', '/videos/3/38.mp4.jpg'),
  (196, '(ML 13.8) Conditional independence in graphical models - basic examples (part 1)', '/videos/3/39.mp4', 0, 0, 0, '', '/videos/3/39.mp4.jpg'),
  (197, '(ML 10.7) Predictive distribution for linear regression (part 4', '/videos/3/40.mp4', 0, 0, 0, '', '/videos/3/40.mp4.jpg'),
  (198, '(ML 11.5) Bias-Variance decomposition', '/videos/3/41.mp4', 0, 0, 0, '', '/videos/3/41.mp4.jpg'),
  (199, '(ML 13.10) D-separation (part 1)', '/videos/3/42.mp4', 0, 0, 0, '', '/videos/3/42.mp4.jpg'),
  (200, '(ML 1.3) What is unsupervised learning', '/videos/3/43.mp4', 0, 0, 0, '', '/videos/3/43.mp4.jpg'),
  (201, '(ML 2.5) Generalizations for trees (CART)', '/videos/3/44.mp4', 0, 0, 0, '', '/videos/3/44.mp4.jpg'),
  (202, '(ML 4.4) MLE for a PMF on a finite set (part 1)', '/videos/3/45.mp4', 0, 0, 0, '', '/videos/3/45.mp4.jpg'),
  (203, '(ML 16.2) K-means clustering (part 2)', '/videos/3/46.mp4', 2, 0, 0, '', '/videos/3/46.mp4.jpg'),
  (204, '(ML 9.2) Linear regression - Definition & Motivation', '/videos/3/47.mp4', 0, 0, 0, '', '/videos/3/47.mp4.jpg'),
  (205, '(ML 17.5) Importance sampling - introduction', '/videos/3/48.mp4', 0, 0, 0, '', '/videos/3/48.mp4.jpg'),
  (206, '(ML 7.9) Posterior distribution for univariate Gaussian (part 1)', '/videos/3/49.mp4', 0, 0, 0, '', '/videos/3/49.mp4.jpg'),
  (207, '(ML 19.3) Examples of Gaussian processes (part 1)', '/videos/3/50.mp4', 0, 0, 0, '', '/videos/3/50.mp4.jpg'),
  (208, '(ML 2.1) Classification trees (CART)', '/videos/3/51.mp4', 0, 0, 0, '', '/videos/3/51.mp4.jpg'),
  (209, '(ML 16.5) Why EM makes sense (part 2)', '/videos/3/52.mp4', 0, 0, 0, '', '/videos/3/52.mp4.jpg'),
  (210, '(ML 5.4) MLE for an exponential family (part 2', '/videos/3/53.mp4', 0, 0, 0, '', '/videos/3/53.mp4.jpg'),
  (211, '(ML 17.4) Examples of Monte Carlo approximation', '/videos/3/54.mp4', 0, 0, 0, '', '/videos/3/54.mp4.jpg'),
  (212, '(ML 17.11) Rejection sampling - uniform case', '/videos/3/55.mp4', 0, 0, 0, '', '/videos/3/55.mp4.jpg'),
  (213, '(ML 13.11) D-separation (part 2)', '/videos/3/56.mp4', 0, 0, 0, '', '/videos/3/56.mp4.jpg'),
  (214, '(ML 4.1) Maximum Likelihood Estimation (MLE) (part 1)', '/videos/3/57.mp4', 0, 0, 0, '', '/videos/3/57.mp4.jpg'),
  (215, '(ML 13.5) Generative process specification', '/videos/3/58.mp4', 0, 0, 0, '', '/videos/3/58.mp4.jpg'),
  (216, '(ML 11.8) Bayesian decision theory', '/videos/3/59.mp4', 0, 0, 0, '', '/videos/3/59.mp4.jpg'),
  (217, '(ML 14.7) Forward algorithm (part 1)', '/videos/3/60.mp4', 0, 0, 0, '', '/videos/3/60.mp4.jpg'),
  (218, '(ML 9.4) MLE for linear regression (part 1)', '/videos/3/61.mp4', 0, 0, 0, '', '/videos/3/61.mp4.jpg'),
  (219, '(ML 11.3) Frequentist risk, Bayesian expected loss, and Bayes risk', '/videos/3/62.mp4', 0, 0, 0, '', '/videos/3/62.mp4.jpg'),
  (220, '(ML 9.6) MLE for linear regression (part 3)', '/videos/3/63.mp4', 0, 0, 0, '', '/videos/3/63.mp4.jpg'),
  (221, '(ML 1.6) k-Nearest Neighbor classification algorithm', '/videos/3/64.mp4', 1, 0, 0, '', '/videos/3/64.mp4.jpg'),
  (222, '(ML 12.6) Cross-validation (part 2)', '/videos/3/65.mp4', 0, 0, 0, '', '/videos/3/65.mp4.jpg'),
  (223, '(ML 16.4) Why EM makes sense (part 1)', '/videos/3/66.mp4', 0, 0, 0, '', '/videos/3/66.mp4.jpg'),
  (224, '(ML 13.1) Directed graphical models - introductory examples (part 1)', '/videos/3/67.mp4', 0, 0, 0, '', '/videos/3/67.mp4.jpg'),
  (225, '(ML 7.4) Conjugate priors', '/videos/3/68.mp4', 0, 0, 0, '', '/videos/3/68.mp4.jpg'),
  (226, '(ML 12.8) Other approaches to model selection', '/videos/3/69.mp4', 0, 0, 0, '', '/videos/3/69.mp4.jpg'),
  (227, '(ML 6.2) MAP for univariate Gaussian mean', '/videos/3/70.mp4', 0, 0, 0, '', '/videos/3/70.mp4.jpg'),
  (228, '(ML 2.6) Bootstrap aggregation (Bagging)', '/videos/3/71.mp4', 0, 0, 0, '', '/videos/3/71.mp4.jpg'),
  (229, '(ML 17.3) Monte Carlo approximation', '/videos/3/73.mp4', 0, 0, 0, '', '/videos/3/73.mp4.jpg'),
  (230, '(ML 19.7) Operations preserving positive semidefinite kernels', '/videos/3/74.mp4', 0, 0, 0, '', '/videos/3/74.mp4.jpg'),
  (231, '(ML 9.7) Basis functions MLE', '/videos/3/75.mp4', 0, 0, 0, '', '/videos/3/75.mp4.jpg'),
  (232, '(ML 14.11) Viterbi algorithm (part 1)', '/videos/3/76.mp4', 0, 0, 0, '', '/videos/3/76.mp4.jpg'),
  (233, '(ML 18.2) Ergodic theorem for Markov chains', '/videos/3/77.mp4', 0, 0, 0, '', '/videos/3/77.mp4.jpg'),
  (234, '(ML 17.8) Smirnov transform (Inverse transform sampling) -  invertible case', '/videos/3/78.mp4', 0, 0, 0, '', '/videos/3/78.mp4.jpg'),
  (235, '(ML 8.3) Bayesian Naive Bayes (part 1)', '/videos/3/79.mp4', 0, 0, 0, '', '/videos/3/79.mp4.jpg'),
  (236, '(ML 10.6) Predictive distribution for linear regression (part 3)', '/videos/3/80.mp4', 0, 0, 0, '', '/videos/3/80.mp4.jpg'),
  (237, '(ML 18.9) Example illustrating the Metropolis algorithm', '/videos/3/81.mp4', 0, 0, 0, '', '/videos/3/81.mp4.jpg'),
  (238, '(ML 14.1) Markov models - motivating examples', '/videos/3/82.mp4', 0, 0, 0, '', '/videos/3/82.mp4.jpg'),
  (239, '(ML 12.1) Model selection - introduction and examples', '/videos/3/83.mp4', 0, 0, 0, '', '/videos/3/83.mp4.jpg'),
  (240, '(ML 6.3) Interpretation of MAP as convex combination', '/videos/3/84.mp4', 0, 0, 0, '', '/videos/3/84.mp4.jpg'),
  (241, '(ML 4.3) MLE for univariate Gaussian mean', '/videos/3/85.mp4', 0, 0, 0, '', '/videos/3/85.mp4.jpg'),
  (242, '(ML 19.8) Proof that a product of PSD kernels is a PSD kernel', '/videos/3/86.mp4', 0, 0, 0, '', '/videos/3/86.mp4.jpg'),
  (243, '(ML 13.9) Conditional independence in graphical models - basic examples (part 2)', '/videos/3/87.mp4', 0, 0, 0, '', '/videos/3/87.mp4.jpg'),
  (244, '(ML 7.2) Aspects of Bayesian inference', '/videos/3/88.mp4', 0, 0, 0, '', '/videos/3/88.mp4.jpg'),
  (245, '(ML 7.1) Bayesian inference - A simple example', '/videos/3/89.mp4', 0, 0, 0, '', '/videos/3/89.mp4.jpg'),
  (246, '(ML 19.6) Inner products and PSD kernels', '/videos/3/90.mp4', 0, 0, 0, '', '/videos/3/90.mp4.jpg'),
  (247, '(ML 9.5) MLE for linear regression (part 2)', '/videos/3/91.mp4', 0, 0, 0, '', '/videos/3/91.mp4.jpg'),
  (248, '(ML 11.6) Inadmissibility', '/videos/3/92.mp4', 0, 0, 0, '', '/videos/3/92.mp4.jpg'),
  (249, '(ML 8.4) Bayesian Naive Bayes (part 2)', '/videos/3/93.mp4', 0, 0, 0, '', '/videos/3/93.mp4.jpg'),
  (250, '(ML 18.1) Markov chain Monte Carlo (MCMC) introductio', '/videos/3/94.mp4', 0, 0, 0, '', '/videos/3/94.mp4.jpg'),
  (251, '(ML 8.2) More about Naive Bayes', '/videos/3/95.mp4', 0, 0, 0, '', '/videos/3/95.mp4.jpg'),
  (252, '(ML 16.7) EM for the Gaussian mixture model (part 1)', '/videos/3/96.mp4', 0, 0, 0, '', '/videos/3/96.mp4.jpg'),
  (253, '(ML 9.1) Linear regression - Nonlinearity via basis functions', '/videos/3/97.mp4', 0, 0, 0, '', '/videos/3/97.mp4.jpg'),
  (254, '(ML 4.2) Maximum Likelihood Estimation (MLE) (part 2)', '/videos/3/98.mp4', 0, 0, 0, '', '/videos/3/98.mp4.jpg'),
  (255, '(ML 19.11) GP regression - model and inference', '/videos/3/99.mp4', 0, 0, 0, '', '/videos/3/99.mp4.jpg'),
  (256, '(ML 5.2) Exponential families (part 2)', '/videos/3/100.mp4', 1, 0, 0, '', '/videos/3/100.mp4.jpg'),
  (257, '(ML 13.2) Directed graphical models - introductory examples (part 2)', '/videos/3/101.mp4', 0, 0, 0, '', '/videos/3/101.mp4.jpg'),
  (258, '(ML 7.7.A1) Dirichlet distribution', '/videos/3/102.mp4', 0, 0, 0, '', '/videos/3/102.mp4.jpg'),
  (259, '(ML 13.7) Graphical model for Bayesian Naive Bayes', '/videos/3/103.mp4', 0, 0, 0, '', '/videos/3/103.mp4.jpg'),
  (260, '(ML 18.3) Stationary distributions, Irreducibility, and Aperiodicity', '/videos/3/104.mp4', 0, 0, 0, '', '/videos/3/104.mp4.jpg'),
  (261, '(ML 12.5) Cross-validation (part 1)', '/videos/3/105.mp4', 0, 0, 0, '', '/videos/3/105.mp4.jpg'),
  (262, '(ML 11.2) Decision theory terminology in different contexts', '/videos/3/107.mp4', 0, 0, 0, '', '/videos/3/107.mp4.jpg'),
  (263, '(ML 3.3) Choosing f to minimize expected loss', '/videos/3/108.mp4', 0, 0, 0, '', '/videos/3/108.mp4.jpg'),
  (264, '(ML 7.7) Dirichlet-Categorical model (part 1)', '/videos/3/109.mp4', 0, 0, 0, '', '/videos/3/109.mp4.jpg'),
  (265, '(ML 19.9) GP regression - introduction', '/videos/3/110.mp4', 0, 0, 0, '', '/videos/3/110.mp4.jpg'),
  (266, '(ML 19.4) Examples of Gaussian processes (part 2)', '/videos/3/111.mp4', 0, 0, 0, '', '/videos/3/111.mp4.jpg'),
  (267, '(ML 13.3) Directed graphical models - formalism (part 1)', '/videos/3/112.mp4', 0, 0, 0, '', '/videos/3/112.mp4.jpg'),
  (268, '(ML 7.6) Beta-Bernoulli model (part 2)', '/videos/3/113.mp4', 0, 0, 0, '', '/videos/3/113.mp4.jpg'),
  (269, '(ML 19.1) Gaussian processes - definition and first examples', '/videos/3/114.mp4', 0, 0, 0, '', '/videos/3/114.mp4.jpg'),
  (270, '(ML 17.13) Proof of rejection sampling (part 1)', '/videos/3/115.mp4', 0, 0, 0, '', '/videos/3/115.mp4.jpg'),
  (271, '(ML 17.14) Proof of rejection sampling (part 2)', '/videos/3/116.mp4', 0, 0, 0, '', '/videos/3/116.mp4.jpg'),
  (272, '(ML 2.4) Growing a classification tree (CART)', '/videos/3/117.mp4', 0, 0, 0, '', '/videos/3/117.mp4.jpg'),
  (273, '(ML 11.1) Estimators', '/videos/3/118.mp4', 0, 0, 0, '', '/videos/3/118.mp4.jpg'),
  (274, '(ML 6.1) Maximum a posteriori (MAP) estimation', '/videos/3/119.mp4', 0, 0, 0, '', '/videos/3/119.mp4.jpg'),
  (275, '(ML 13.13) How to use D-separation - illustrative examples (part 2)', '/videos/3/121.mp4', 0, 0, 0, '', '/videos/3/121.mp4.jpg'),
  (276, '(ML 16.9) EM for the Gaussian mixture model (part 3)', '/videos/3/122.mp4', 0, 0, 0, '', '/videos/3/122.mp4.jpg'),
  (277, '(ML 11.4) Choosing a decision rule - Bayesian and frequentis', '/videos/3/123.mp4', 0, 0, 0, '', '/videos/3/123.mp4.jpg'),
  (278, '(ML 16.13) EM for MAP estimation', '/videos/3/124.mp4', 0, 0, 0, '', '/videos/3/124.mp4.jpg'),
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  (747, '[CLIP] Recommender System, Rate Movies, User, Recommendation, Items', '/videos/clips/1-42.mp4-005.mkv', 0, 1, 42, 'videos/clips-text/1-42.mp4-005.mkv.flac.txt', '/videos/1/42.mp4.jpg'),
  (748, '[CLIP] ', '/videos/clips/1-37.mp4-002.mkv', 0, 1, 37, 'videos/clips-text/1-37.mp4-002.mkv.flac.txt', '/videos/1/37.mp4.jpg'),
  (749, '[CLIP] Combined, Date, Layer, Note', '/videos/clips/1-29.mp4-048.mkv', 0, 1, 29, 'videos/clips-text/1-29.mp4-048.mkv.flac.txt', '/videos/1/29.mp4.jpg'),
  (750, '[CLIP] ', '/videos/clips/1-45.mp4-019.mkv', 0, 1, 45, 'videos/clips-text/1-45.mp4-019.mkv.flac.txt', '/videos/1/45.mp4.jpg'),
  (751, '[CLIP] ', '/videos/clips/1-29.mp4-015.mkv', 0, 1, 29, 'videos/clips-text/1-29.mp4-015.mkv.flac.txt', '/videos/1/29.mp4.jpg'),
  (752, '[CLIP] ', '/videos/clips/1-29.mp4-030.mkv', 0, 1, 29, 'videos/clips-text/1-29.mp4-030.mkv.flac.txt', '/videos/1/29.mp4.jpg'),
  (753, '[CLIP] ', '/videos/clips/1-35.mp4-001.mkv', 0, 1, 35, 'videos/clips-text/1-35.mp4-001.mkv.flac.txt', '/videos/1/35.mp4.jpg'),
  (754, '[CLIP] ', '/videos/clips/1-20.mp4-047.mkv', 0, 1, 20, 'videos/clips-text/1-20.mp4-047.mkv.flac.txt', '/videos/1/20.mp4.jpg'),
  (755, '[CLIP] Decision Tree, Smaller Trees, Hypothesis Space, Choose, Fits', '/videos/clips/1-4.mp4-010.mkv', 0, 1, 4, 'videos/clips-text/1-4.mp4-010.mkv.flac.txt', '/videos/1/4.mp4.jpg'),
  (756, '[CLIP] Image, Find, Process', '/videos/clips/1-11.mp4-013.mkv', 1, 1, 11, 'videos/clips-text/1-11.mp4-013.mkv.flac.txt', '/videos/1/11.mp4.jpg'),
  (757, '[CLIP] Based, Density, Items, Similarity, Metric', '/videos/clips/1-28.mp4-029.mkv', 0, 1, 28, 'videos/clips-text/1-28.mp4-029.mkv.flac.txt', '/videos/1/28.mp4.jpg'),
  (758, '[CLIP] ', '/videos/clips/1-5.mp4-021.mkv', 0, 1, 5, 'videos/clips-text/1-5.mp4-021.mkv.flac.txt', '/videos/1/5.mp4.jpg'),
  (759, '[CLIP] ', '/videos/clips/1-7.mp4-029.mkv', 0, 1, 7, 'videos/clips-text/1-7.mp4-029.mkv.flac.txt', '/videos/1/7.mp4.jpg'),
  (760, '[CLIP] ', '/videos/clips/1-28.mp4-036.mkv', 0, 1, 28, 'videos/clips-text/1-28.mp4-036.mkv.flac.txt', '/videos/1/28.mp4.jpg'),
  (761, '[CLIP] Objects Belonging, Cluster Sum, Clusters, Set, Class', '/videos/clips/1-2.mp4-005.mkv', 0, 1, 2, 'videos/clips-text/1-2.mp4-005.mkv.flac.txt', '/videos/1/2.mp4.jpg'),
  (762, '[CLIP] ', '/videos/clips/1-1.mp4-054.mkv', 0, 1, 1, 'videos/clips-text/1-1.mp4-054.mkv.flac.txt', '/videos/1/1.mp4.jpg'),
  (763, '[CLIP] ', '/videos/clips/1-45.mp4-029.mkv', 0, 1, 45, 'videos/clips-text/1-45.mp4-029.mkv.flac.txt', '/videos/1/45.mp4.jpg'),
  (764, '[CLIP] ', '/videos/clips/1-34.mp4-036.mkv', 0, 1, 34, 'videos/clips-text/1-34.mp4-036.mkv.flac.txt', '/videos/1/34.mp4.jpg'),
  (765, '[CLIP] System, Data, Number', '/videos/clips/1-17.mp4-036.mkv', 0, 1, 17, 'videos/clips-text/1-17.mp4-036.mkv.flac.txt', '/videos/1/17.mp4.jpg'),
  (766, '[CLIP] ', '/videos/clips/1-29.mp4-003.mkv', 0, 1, 29, 'videos/clips-text/1-29.mp4-003.mkv.flac.txt', '/videos/1/29.mp4.jpg'),
  (767, '[CLIP] ', '/videos/clips/1-34.mp4-026.mkv', 0, 1, 34, 'videos/clips-text/1-34.mp4-026.mkv.flac.txt', '/videos/1/34.mp4.jpg'),
  (768, '[CLIP] ', '/videos/clips/1-1.mp4-007.mkv', 0, 1, 1, 'videos/clips-text/1-1.mp4-007.mkv.flac.txt', '/videos/1/1.mp4.jpg');
  INSERT INTO `videos` (`id`, `title`, `url`, `view_count`, `is_clip`, `parent_id`, `description_url`, `img_url`) VALUES
  (769, '[CLIP] ', '/videos/clips/1-15.mp4-042.mkv', 0, 1, 15, 'videos/clips-text/1-15.mp4-042.mkv.flac.txt', '/videos/1/15.mp4.jpg'),
  (770, '[CLIP] ', '/videos/clips/1-27.mp4-008.mkv', 0, 1, 27, 'videos/clips-text/1-27.mp4-008.mkv.flac.txt', '/videos/1/27.mp4.jpg'),
  (771, '[CLIP] Distance, Xjs, Measure, Sum, Points', '/videos/clips/1-2.mp4-017.mkv', 0, 1, 2, 'videos/clips-text/1-2.mp4-017.mkv.flac.txt', '/videos/1/2.mp4.jpg'),
  (772, '[CLIP] ', '/videos/clips/1-18.mp4-002.mkv', 0, 1, 18, 'videos/clips-text/1-18.mp4-002.mkv.flac.txt', '/videos/1/18.mp4.jpg'),
  (773, '[CLIP] ', '/videos/clips/1-15.mp4-009.mkv', 0, 1, 15, 'videos/clips-text/1-15.mp4-009.mkv.flac.txt', '/videos/1/15.mp4.jpg'),
  (774, '[CLIP] ', '/videos/clips/1-41.mp4-001.mkv', 0, 1, 41, 'videos/clips-text/1-41.mp4-001.mkv.flac.txt', '/videos/1/41.mp4.jpg'),
  (775, '[CLIP] ', '/videos/clips/1-17.mp4-038.mkv', 0, 1, 17, 'videos/clips-text/1-17.mp4-038.mkv.flac.txt', '/videos/1/17.mp4.jpg'),
  (776, '[CLIP] ', '/videos/clips/1-27.mp4-007.mkv', 0, 1, 27, 'videos/clips-text/1-27.mp4-007.mkv.flac.txt', '/videos/1/27.mp4.jpg'),
  (777, '[CLIP] ', '/videos/clips/1-15.mp4-029.mkv', 0, 1, 15, 'videos/clips-text/1-15.mp4-029.mkv.flac.txt', '/videos/1/15.mp4.jpg'),
  (778, '[CLIP] ', '/videos/clips/1-29.mp4-021.mkv', 0, 1, 29, 'videos/clips-text/1-29.mp4-021.mkv.flac.txt', '/videos/1/29.mp4.jpg'),
  (779, '[CLIP] Balls, Red, Blue, Yellow, Iron', '/videos/clips/1-39.mp4-010.mkv', 0, 1, 39, 'videos/clips-text/1-39.mp4-010.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (780, '[CLIP] ', '/videos/clips/1-39.mp4-020.mkv', 0, 1, 39, 'videos/clips-text/1-39.mp4-020.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (781, '[CLIP] ', '/videos/clips/1-15.mp4-015.mkv', 0, 1, 15, 'videos/clips-text/1-15.mp4-015.mkv.flac.txt', '/videos/1/15.mp4.jpg'),
  (782, '[CLIP] Decision Surface, Points, Linear, Polynomial, Quadratic', '/videos/clips/1-36.mp4-025.mkv', 0, 1, 36, 'videos/clips-text/1-36.mp4-025.mkv.flac.txt', '/videos/1/36.mp4.jpg'),
  (783, '[CLIP] ', '/videos/clips/1-35.mp4-030.mkv', 0, 1, 35, 'videos/clips-text/1-35.mp4-030.mkv.flac.txt', '/videos/1/35.mp4.jpg'),
  (784, '[CLIP] ', '/videos/clips/1-43.mp4-002.mkv', 0, 1, 43, 'videos/clips-text/1-43.mp4-002.mkv.flac.txt', '/videos/1/43.mp4.jpg'),
  (785, '[CLIP] Times Probability, Features, Based, Classification, Independent', '/videos/clips/1-7.mp4-006.mkv', 0, 1, 7, 'videos/clips-text/1-7.mp4-006.mkv.flac.txt', '/videos/1/7.mp4.jpg'),
  (786, '[CLIP] ', '/videos/clips/1-15.mp4-041.mkv', 0, 1, 15, 'videos/clips-text/1-15.mp4-041.mkv.flac.txt', '/videos/1/15.mp4.jpg'),
  (787, '[CLIP] Elements', '/videos/clips/1-20.mp4-030.mkv', 0, 1, 20, 'videos/clips-text/1-20.mp4-030.mkv.flac.txt', '/videos/1/20.mp4.jpg'),
  (788, '[CLIP] ', '/videos/clips/1-11.mp4-048.mkv', 0, 1, 11, 'videos/clips-text/1-11.mp4-048.mkv.flac.txt', '/videos/1/11.mp4.jpg'),
  (789, '[CLIP] Training Examples, Active, Constraint, Neuron', '/videos/clips/1-11.mp4-028.mkv', 0, 1, 11, 'videos/clips-text/1-11.mp4-028.mkv.flac.txt', '/videos/1/11.mp4.jpg'),
  (790, '[CLIP] ', '/videos/clips/1-30.mp4-020.mkv', 0, 1, 30, 'videos/clips-text/1-30.mp4-020.mkv.flac.txt', '/videos/1/30.mp4.jpg'),
  (791, '[CLIP] ', '/videos/clips/1-40.mp4-020.mkv', 0, 1, 40, 'videos/clips-text/1-40.mp4-020.mkv.flac.txt', '/videos/1/40.mp4.jpg'),
  (792, '[CLIP] ', '/videos/clips/1-17.mp4-034.mkv', 0, 1, 17, 'videos/clips-text/1-17.mp4-034.mkv.flac.txt', '/videos/1/17.mp4.jpg'),
  (793, '[CLIP] ', '/videos/clips/1-42.mp4-019.mkv', 0, 1, 42, 'videos/clips-text/1-42.mp4-019.mkv.flac.txt', '/videos/1/42.mp4.jpg'),
  (794, '[CLIP] ', '/videos/clips/1-27.mp4-009.mkv', 0, 1, 27, 'videos/clips-text/1-27.mp4-009.mkv.flac.txt', '/videos/1/27.mp4.jpg'),
  (795, '[CLIP] ', '/videos/clips/1-39.mp4-026.mkv', 0, 1, 39, 'videos/clips-text/1-39.mp4-026.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (796, '[CLIP] ', '/videos/clips/1-8.mp4-001.mkv', 0, 1, 8, 'videos/clips-text/1-8.mp4-001.mkv.flac.txt', '/videos/1/8.mp4.jpg'),
  (797, '[CLIP] ', '/videos/clips/1-27.mp4-029.mkv', 0, 1, 27, 'videos/clips-text/1-27.mp4-029.mkv.flac.txt', '/videos/1/27.mp4.jpg'),
  (798, '[CLIP] Machine Learning, Define, Kind, Model, Train', '/videos/clips/1-27.mp4-026.mkv', 0, 1, 27, 'videos/clips-text/1-27.mp4-026.mkv.flac.txt', '/videos/1/27.mp4.jpg'),
  (799, '[CLIP] ', '/videos/clips/1-4.mp4-005.mkv', 0, 1, 4, 'videos/clips-text/1-4.mp4-005.mkv.flac.txt', '/videos/1/4.mp4.jpg'),
  (800, '[CLIP] Gradient Descent, Transfer Function, Linear Function, Error Function, Sigmoid Function', '/videos/clips/1-33.mp4-010.mkv', 2, 1, 33, 'videos/clips-text/1-33.mp4-010.mkv.flac.txt', '/videos/1/33.mp4.jpg'),
  (801, '[CLIP] ', '/videos/clips/1-46.mp4-007.mkv', 0, 1, 46, 'videos/clips-text/1-46.mp4-007.mkv.flac.txt', '/videos/1/46.mp4.jpg'),
  (802, '[CLIP] ', '/videos/clips/1-27.mp4-047.mkv', 0, 1, 27, 'videos/clips-text/1-27.mp4-047.mkv.flac.txt', '/videos/1/27.mp4.jpg'),
  (803, '[CLIP] ', '/videos/clips/1-34.mp4-031.mkv', 0, 1, 34, 'videos/clips-text/1-34.mp4-031.mkv.flac.txt', '/videos/1/34.mp4.jpg'),
  (804, '[CLIP] ', '/videos/clips/1-47.mp4-013.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-013.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (805, '[CLIP] ', '/videos/clips/1-41.mp4-030.mkv', 0, 1, 41, 'videos/clips-text/1-41.mp4-030.mkv.flac.txt', '/videos/1/41.mp4.jpg'),
  (806, '[CLIP] ', '/videos/clips/1-5.mp4-002.mkv', 0, 1, 5, 'videos/clips-text/1-5.mp4-002.mkv.flac.txt', '/videos/1/5.mp4.jpg'),
  (807, '[CLIP] ', '/videos/clips/1-39.mp4-028.mkv', 0, 1, 39, 'videos/clips-text/1-39.mp4-028.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (808, '[CLIP] ', '/videos/clips/1-31.mp4-026.mkv', 0, 1, 31, 'videos/clips-text/1-31.mp4-026.mkv.flac.txt', '/videos/1/31.mp4.jpg'),
  (809, '[CLIP] ', '/videos/clips/1-19.mp4-002.mkv', 0, 1, 19, 'videos/clips-text/1-19.mp4-002.mkv.flac.txt', '/videos/1/19.mp4.jpg'),
  (810, '[CLIP] ', '/videos/clips/1-10.mp4-026.mkv', 0, 1, 10, 'videos/clips-text/1-10.mp4-026.mkv.flac.txt', '/videos/1/10.mp4.jpg'),
  (811, '[CLIP] Artificial Neural, Neural Networks, Training Artificial, Gradient Descent, Perception', '/videos/clips/1-29.mp4-006.mkv', 0, 1, 29, 'videos/clips-text/1-29.mp4-006.mkv.flac.txt', '/videos/1/29.mp4.jpg'),
  (812, '[CLIP] Class, Maximum, Choose, Alright', '/videos/clips/1-14.mp4-028.mkv', 0, 1, 14, 'videos/clips-text/1-14.mp4-028.mkv.flac.txt', '/videos/1/14.mp4.jpg'),
  (813, '[CLIP] ', '/videos/clips/1-2.mp4-046.mkv', 0, 1, 2, 'videos/clips-text/1-2.mp4-046.mkv.flac.txt', '/videos/1/2.mp4.jpg'),
  (814, '[CLIP] ', '/videos/clips/1-29.mp4-072.mkv', 0, 1, 29, 'videos/clips-text/1-29.mp4-072.mkv.flac.txt', '/videos/1/29.mp4.jpg'),
  (815, '[CLIP] ', '/videos/clips/1-8.mp4-015.mkv', 0, 1, 8, 'videos/clips-text/1-8.mp4-015.mkv.flac.txt', '/videos/1/8.mp4.jpg'),
  (816, '[CLIP] Target Values, Input, Learning, Unsupervised', '/videos/clips/1-17.mp4-013.mkv', 0, 1, 17, 'videos/clips-text/1-17.mp4-013.mkv.flac.txt', '/videos/1/17.mp4.jpg'),
  (817, '[CLIP] Training Data, Data Ready, 7, Graph, Tens', '/videos/clips/1-27.mp4-015.mkv', 0, 1, 27, 'videos/clips-text/1-27.mp4-015.mkv.flac.txt', '/videos/1/27.mp4.jpg'),
  (818, '[CLIP] Noodle Network, Input Signal, Neural Network, Find, Based', '/videos/clips/1-38.mp4-016.mkv', 0, 1, 38, 'videos/clips-text/1-38.mp4-016.mkv.flac.txt', '/videos/1/38.mp4.jpg'),
  (819, '[CLIP] ', '/videos/clips/1-4.mp4-008.mkv', 0, 1, 4, 'videos/clips-text/1-4.mp4-008.mkv.flac.txt', '/videos/1/4.mp4.jpg'),
  (820, '[CLIP] ', '/videos/clips/1-47.mp4-003.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-003.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (821, '[CLIP] ', '/videos/clips/1-31.mp4-001.mkv', 0, 1, 31, 'videos/clips-text/1-31.mp4-001.mkv.flac.txt', '/videos/1/31.mp4.jpg'),
  (822, '[CLIP] ', '/videos/clips/1-34.mp4-046.mkv', 0, 1, 34, 'videos/clips-text/1-34.mp4-046.mkv.flac.txt', '/videos/1/34.mp4.jpg'),
  (823, '[CLIP] Knife, Surprisingly, Continuous, Input, Classification', '/videos/clips/1-7.mp4-020.mkv', 0, 1, 7, 'videos/clips-text/1-7.mp4-020.mkv.flac.txt', '/videos/1/7.mp4.jpg'),
  (824, '[CLIP] ', '/videos/clips/1-16.mp4-005.mkv', 0, 1, 16, 'videos/clips-text/1-16.mp4-005.mkv.flac.txt', '/videos/1/16.mp4.jpg'),
  (825, '[CLIP] ', '/videos/clips/1-31.mp4-021.mkv', 0, 1, 31, 'videos/clips-text/1-31.mp4-021.mkv.flac.txt', '/videos/1/31.mp4.jpg'),
  (826, '[CLIP] ', '/videos/clips/1-12.mp4-014.mkv', 0, 1, 12, 'videos/clips-text/1-12.mp4-014.mkv.flac.txt', '/videos/1/12.mp4.jpg'),
  (827, '[CLIP] ', '/videos/clips/1-29.mp4-011.mkv', 0, 1, 29, 'videos/clips-text/1-29.mp4-011.mkv.flac.txt', '/videos/1/29.mp4.jpg'),
  (828, '[CLIP] ', '/videos/clips/1-45.mp4-013.mkv', 0, 1, 45, 'videos/clips-text/1-45.mp4-013.mkv.flac.txt', '/videos/1/45.mp4.jpg'),
  (829, '[CLIP] ', '/videos/clips/1-3.mp4-003.mkv', 0, 1, 3, 'videos/clips-text/1-3.mp4-003.mkv.flac.txt', '/videos/1/3.mp4.jpg'),
  (830, '[CLIP] ', '/videos/clips/1-7.mp4-015.mkv', 0, 1, 7, 'videos/clips-text/1-7.mp4-015.mkv.flac.txt', '/videos/1/7.mp4.jpg'),
  (831, '[CLIP] ', '/videos/clips/1-2.mp4-004.mkv', 0, 1, 2, 'videos/clips-text/1-2.mp4-004.mkv.flac.txt', '/videos/1/2.mp4.jpg'),
  (832, '[CLIP] ', '/videos/clips/1-25.mp4-003.mkv', 0, 1, 25, 'videos/clips-text/1-25.mp4-003.mkv.flac.txt', '/videos/1/25.mp4.jpg'),
  (833, '[CLIP] Incomplete Link, X1 X2, Similar Pair, Similarity, Belongs', '/videos/clips/1-21.mp4-019.mkv', 0, 1, 21, 'videos/clips-text/1-21.mp4-019.mkv.flac.txt', '/videos/1/21.mp4.jpg'),
  (834, '[CLIP] ', '/videos/clips/1-15.mp4-006.mkv', 0, 1, 15, 'videos/clips-text/1-15.mp4-006.mkv.flac.txt', '/videos/1/15.mp4.jpg'),
  (835, '[CLIP] ', '/videos/clips/1-38.mp4-024.mkv', 0, 1, 38, 'videos/clips-text/1-38.mp4-024.mkv.flac.txt', '/videos/1/38.mp4.jpg'),
  (836, '[CLIP] ', '/videos/clips/1-1.mp4-052.mkv', 0, 1, 1, 'videos/clips-text/1-1.mp4-052.mkv.flac.txt', '/videos/1/1.mp4.jpg'),
  (837, '[CLIP] ', '/videos/clips/1-32.mp4-025.mkv', 0, 1, 32, 'videos/clips-text/1-32.mp4-025.mkv.flac.txt', '/videos/1/32.mp4.jpg'),
  (838, '[CLIP] ', '/videos/clips/1-34.mp4-050.mkv', 0, 1, 34, 'videos/clips-text/1-34.mp4-050.mkv.flac.txt', '/videos/1/34.mp4.jpg'),
  (839, '[CLIP] Input, -, Connection, Output', '/videos/clips/1-11.mp4-052.mkv', 0, 1, 11, 'videos/clips-text/1-11.mp4-052.mkv.flac.txt', '/videos/1/11.mp4.jpg'),
  (840, '[CLIP] ', '/videos/clips/1-7.mp4-004.mkv', 0, 1, 7, 'videos/clips-text/1-7.mp4-004.mkv.flac.txt', '/videos/1/7.mp4.jpg'),
  (841, '[CLIP] Square Root, Excited Exchange, Excite Exchange, Excitement Square, 1', '/videos/clips/1-36.mp4-014.mkv', 0, 1, 36, 'videos/clips-text/1-36.mp4-014.mkv.flac.txt', '/videos/1/36.mp4.jpg'),
  (842, '[CLIP] Kind, Faces, Images, Supervised, Based', '/videos/clips/1-22.mp4-012.mkv', 0, 1, 22, 'videos/clips-text/1-22.mp4-012.mkv.flac.txt', '/videos/1/22.mp4.jpg'),
  (843, '[CLIP] ', '/videos/clips/1-47.mp4-063.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-063.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (844, '[CLIP] Hypothesis Space, Size, Power, Features, Occur', '/videos/clips/1-16.mp4-020.mkv', 0, 1, 16, 'videos/clips-text/1-16.mp4-020.mkv.flac.txt', '/videos/1/16.mp4.jpg'),
  (845, '[CLIP] ', '/videos/clips/1-27.mp4-006.mkv', 0, 1, 27, 'videos/clips-text/1-27.mp4-006.mkv.flac.txt', '/videos/1/27.mp4.jpg'),
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  (1052, '[CLIP] ', '/videos/clips/1-47.mp4-008.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-008.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (1053, '[CLIP] ', '/videos/clips/1-20.mp4-026.mkv', 0, 1, 20, 'videos/clips-text/1-20.mp4-026.mkv.flac.txt', '/videos/1/20.mp4.jpg'),
  (1054, '[CLIP] ', '/videos/clips/1-37.mp4-013.mkv', 0, 1, 37, 'videos/clips-text/1-37.mp4-013.mkv.flac.txt', '/videos/1/37.mp4.jpg'),
  (1055, '[CLIP] ', '/videos/clips/1-34.mp4-038.mkv', 0, 1, 34, 'videos/clips-text/1-34.mp4-038.mkv.flac.txt', '/videos/1/34.mp4.jpg'),
  (1056, '[CLIP] ', '/videos/clips/1-28.mp4-027.mkv', 0, 1, 28, 'videos/clips-text/1-28.mp4-027.mkv.flac.txt', '/videos/1/28.mp4.jpg'),
  (1057, '[CLIP] ', '/videos/clips/1-1.mp4-042.mkv', 0, 1, 1, 'videos/clips-text/1-1.mp4-042.mkv.flac.txt', '/videos/1/1.mp4.jpg'),
  (1058, '[CLIP] Equal, 0, 1, Probability, Table', '/videos/clips/1-39.mp4-024.mkv', 0, 1, 39, 'videos/clips-text/1-39.mp4-024.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (1059, '[CLIP] ', '/videos/clips/1-39.mp4-051.mkv', 0, 1, 39, 'videos/clips-text/1-39.mp4-051.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (1060, '[CLIP] ', '/videos/clips/1-6.mp4-018.mkv', 0, 1, 6, 'videos/clips-text/1-6.mp4-018.mkv.flac.txt', '/videos/1/6.mp4.jpg'),
  (1061, '[CLIP] ', '/videos/clips/1-36.mp4-026.mkv', 0, 1, 36, 'videos/clips-text/1-36.mp4-026.mkv.flac.txt', '/videos/1/36.mp4.jpg'),
  (1062, '[CLIP] ', '/videos/clips/1-10.mp4-020.mkv', 0, 1, 10, 'videos/clips-text/1-10.mp4-020.mkv.flac.txt', '/videos/1/10.mp4.jpg'),
  (1063, '[CLIP] Conditionally Independent, Email Message, Spam, Class, Features', '/videos/clips/1-14.mp4-010.mkv', 0, 1, 14, 'videos/clips-text/1-14.mp4-010.mkv.flac.txt', '/videos/1/14.mp4.jpg'),
  (1064, '[CLIP] ', '/videos/clips/1-38.mp4-059.mkv', 0, 1, 38, 'videos/clips-text/1-38.mp4-059.mkv.flac.txt', '/videos/1/38.mp4.jpg'),
  (1065, '[CLIP] ', '/videos/clips/1-27.mp4-032.mkv', 0, 1, 27, 'videos/clips-text/1-27.mp4-032.mkv.flac.txt', '/videos/1/27.mp4.jpg'),
  (1066, '[CLIP] ', '/videos/clips/1-15.mp4-024.mkv', 0, 1, 15, 'videos/clips-text/1-15.mp4-024.mkv.flac.txt', '/videos/1/15.mp4.jpg'),
  (1067, '[CLIP] Negative Examples, Decision Trees, Multiple Values, Stop, Attribute', '/videos/clips/1-37.mp4-015.mkv', 0, 1, 37, 'videos/clips-text/1-37.mp4-015.mkv.flac.txt', '/videos/1/37.mp4.jpg'),
  (1068, '[CLIP] Decision Tree, Credit Score, Decision Notes, Credit Rating, Applicant', '/videos/clips/1-4.mp4-006.mkv', 0, 1, 4, 'videos/clips-text/1-4.mp4-006.mkv.flac.txt', '/videos/1/4.mp4.jpg'),
  (1069, '[CLIP] ', '/videos/clips/1-7.mp4-005.mkv', 0, 1, 7, 'videos/clips-text/1-7.mp4-005.mkv.flac.txt', '/videos/1/7.mp4.jpg'),
  (1070, '[CLIP] ', '/videos/clips/1-35.mp4-022.mkv', 0, 1, 35, 'videos/clips-text/1-35.mp4-022.mkv.flac.txt', '/videos/1/35.mp4.jpg'),
  (1071, '[CLIP] ', '/videos/clips/1-47.mp4-043.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-043.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (1072, '[CLIP] ', '/videos/clips/1-41.mp4-005.mkv', 0, 1, 41, 'videos/clips-text/1-41.mp4-005.mkv.flac.txt', '/videos/1/41.mp4.jpg'),
  (1073, '[CLIP] ', '/videos/clips/1-1.mp4-026.mkv', 0, 1, 1, 'videos/clips-text/1-1.mp4-026.mkv.flac.txt', '/videos/1/1.mp4.jpg'),
  (1074, '[CLIP] ', '/videos/clips/1-37.mp4-024.mkv', 0, 1, 37, 'videos/clips-text/1-37.mp4-024.mkv.flac.txt', '/videos/1/37.mp4.jpg'),
  (1075, '[CLIP] Points, Find, Formulas, Saturday, Arrangement', '/videos/clips/1-15.mp4-035.mkv', 1, 1, 15, 'videos/clips-text/1-15.mp4-035.mkv.flac.txt', '/videos/1/15.mp4.jpg'),
  (1076, '[CLIP] ', '/videos/clips/1-34.mp4-047.mkv', 0, 1, 34, 'videos/clips-text/1-34.mp4-047.mkv.flac.txt', '/videos/1/34.mp4.jpg'),
  (1077, '[CLIP] Degree Polynomial, Parameters, Regression', '/videos/clips/1-1.mp4-050.mkv', 1, 1, 1, 'videos/clips-text/1-1.mp4-050.mkv.flac.txt', '/videos/1/1.mp4.jpg'),
  (1078, '[CLIP] ', '/videos/clips/1-14.mp4-001.mkv', 0, 1, 14, 'videos/clips-text/1-14.mp4-001.mkv.flac.txt', '/videos/1/14.mp4.jpg'),
  (1079, '[CLIP] ', '/videos/clips/1-34.mp4-013.mkv', 0, 1, 34, 'videos/clips-text/1-34.mp4-013.mkv.flac.txt', '/videos/1/34.mp4.jpg'),
  (1080, '[CLIP] ', '/videos/clips/1-39.mp4-047.mkv', 0, 1, 39, 'videos/clips-text/1-39.mp4-047.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (1081, '[CLIP] ', '/videos/clips/1-23.mp4-010.mkv', 0, 1, 23, 'videos/clips-text/1-23.mp4-010.mkv.flac.txt', '/videos/1/23.mp4.jpg'),
  (1082, '[CLIP] Equal, Greater', '/videos/clips/1-13.mp4-010.mkv', 0, 1, 13, 'videos/clips-text/1-13.mp4-010.mkv.flac.txt', '/videos/1/13.mp4.jpg'),
  (1083, '[CLIP] ', '/videos/clips/1-39.mp4-050.mkv', 0, 1, 39, 'videos/clips-text/1-39.mp4-050.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (1084, '[CLIP] ', '/videos/clips/1-37.mp4-059.mkv', 0, 1, 37, 'videos/clips-text/1-37.mp4-059.mkv.flac.txt', '/videos/1/37.mp4.jpg'),
  (1085, '[CLIP] Equal, Map, Probability, Probable, Fold', '/videos/clips/1-39.mp4-036.mkv', 0, 1, 39, 'videos/clips-text/1-39.mp4-036.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (1086, '[CLIP] ', '/videos/clips/1-34.mp4-028.mkv', 0, 1, 34, 'videos/clips-text/1-34.mp4-028.mkv.flac.txt', '/videos/1/34.mp4.jpg'),
  (1087, '[CLIP] ', '/videos/clips/1-14.mp4-021.mkv', 0, 1, 14, 'videos/clips-text/1-14.mp4-021.mkv.flac.txt', '/videos/1/14.mp4.jpg'),
  (1088, '[CLIP] ', '/videos/clips/1-34.mp4-018.mkv', 0, 1, 34, 'videos/clips-text/1-34.mp4-018.mkv.flac.txt', '/videos/1/34.mp4.jpg'),
  (1089, '[CLIP] ', '/videos/clips/1-34.mp4-037.mkv', 0, 1, 34, 'videos/clips-text/1-34.mp4-037.mkv.flac.txt', '/videos/1/34.mp4.jpg'),
  (1090, '[CLIP] ', '/videos/clips/1-38.mp4-040.mkv', 0, 1, 38, 'videos/clips-text/1-38.mp4-040.mkv.flac.txt', '/videos/1/38.mp4.jpg'),
  (1091, '[CLIP] Weight Loss, Probability, Find, Tumor, Symptoms', '/videos/clips/1-23.mp4-013.mkv', 0, 1, 23, 'videos/clips-text/1-23.mp4-013.mkv.flac.txt', '/videos/1/23.mp4.jpg'),
  (1092, '[CLIP] ', '/videos/clips/1-47.mp4-010.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-010.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (1093, '[CLIP] Features, Kinds', '/videos/clips/1-22.mp4-026.mkv', 0, 1, 22, 'videos/clips-text/1-22.mp4-026.mkv.flac.txt', '/videos/1/22.mp4.jpg'),
  (1094, '[CLIP] Center Number, Center Centroid, Point, Cluster, Step', '/videos/clips/1-20.mp4-011.mkv', 0, 1, 20, 'videos/clips-text/1-20.mp4-011.mkv.flac.txt', '/videos/1/20.mp4.jpg'),
  (1095, '[CLIP] Clusters, Images, Similar-, Face, Class', '/videos/clips/1-22.mp4-020.mkv', 0, 1, 22, 'videos/clips-text/1-22.mp4-020.mkv.flac.txt', '/videos/1/22.mp4.jpg'),
  (1096, '[CLIP] Decision Tree, Training, Noise', '/videos/clips/1-1.mp4-006.mkv', 0, 1, 1, 'videos/clips-text/1-1.mp4-006.mkv.flac.txt', '/videos/1/1.mp4.jpg'),
  (1097, '[CLIP] Decision Surface, Functional Margin, Decision Service, Support Vector, Vector Machine', '/videos/clips/1-8.mp4-008.mkv', 0, 1, 8, 'videos/clips-text/1-8.mp4-008.mkv.flac.txt', '/videos/1/8.mp4.jpg'),
  (1098, '[CLIP] ', '/videos/clips/1-38.mp4-041.mkv', 0, 1, 38, 'videos/clips-text/1-38.mp4-041.mkv.flac.txt', '/videos/1/38.mp4.jpg'),
  (1099, '[CLIP] ', '/videos/clips/1-22.mp4-007.mkv', 0, 1, 22, 'videos/clips-text/1-22.mp4-007.mkv.flac.txt', '/videos/1/22.mp4.jpg'),
  (1100, '[CLIP] ', '/videos/clips/1-37.mp4-019.mkv', 0, 1, 37, 'videos/clips-text/1-37.mp4-019.mkv.flac.txt', '/videos/1/37.mp4.jpg'),
  (1101, '[CLIP] ', '/videos/clips/1-39.mp4-016.mkv', 0, 1, 39, 'videos/clips-text/1-39.mp4-016.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (1102, '[CLIP] ', '/videos/clips/1-13.mp4-003.mkv', 0, 1, 13, 'videos/clips-text/1-13.mp4-003.mkv.flac.txt', '/videos/1/13.mp4.jpg'),
  (1103, '[CLIP] ', '/videos/clips/1-30.mp4-002.mkv', 0, 1, 30, 'videos/clips-text/1-30.mp4-002.mkv.flac.txt', '/videos/1/30.mp4.jpg'),
  (1104, '[CLIP] ', '/videos/clips/1-41.mp4-016.mkv', 0, 1, 41, 'videos/clips-text/1-41.mp4-016.mkv.flac.txt', '/videos/1/41.mp4.jpg'),
  (1105, '[CLIP] ', '/videos/clips/1-15.mp4-002.mkv', 0, 1, 15, 'videos/clips-text/1-15.mp4-002.mkv.flac.txt', '/videos/1/15.mp4.jpg'),
  (1106, '[CLIP] ', '/videos/clips/1-40.mp4-011.mkv', 0, 1, 40, 'videos/clips-text/1-40.mp4-011.mkv.flac.txt', '/videos/1/40.mp4.jpg'),
  (1107, '[CLIP] ', '/videos/clips/1-2.mp4-010.mkv', 0, 1, 2, 'videos/clips-text/1-2.mp4-010.mkv.flac.txt', '/videos/1/2.mp4.jpg'),
  (1108, '[CLIP] ', '/videos/clips/1-2.mp4-036.mkv', 0, 1, 2, 'videos/clips-text/1-2.mp4-036.mkv.flac.txt', '/videos/1/2.mp4.jpg'),
  (1109, '[CLIP] ', '/videos/clips/1-8.mp4-004.mkv', 0, 1, 8, 'videos/clips-text/1-8.mp4-004.mkv.flac.txt', '/videos/1/8.mp4.jpg'),
  (1110, '[CLIP] ', '/videos/clips/1-39.mp4-011.mkv', 0, 1, 39, 'videos/clips-text/1-39.mp4-011.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (1111, '[CLIP] Relative Frequencies, Spam, Email, Vector, Word', '/videos/clips/1-14.mp4-011.mkv', 0, 1, 14, 'videos/clips-text/1-14.mp4-011.mkv.flac.txt', '/videos/1/14.mp4.jpg'),
  (1112, '[CLIP] ', '/videos/clips/1-41.mp4-045.mkv', 0, 1, 41, 'videos/clips-text/1-41.mp4-045.mkv.flac.txt', '/videos/1/41.mp4.jpg'),
  (1113, '[CLIP] ', '/videos/clips/1-3.mp4-013.mkv', 0, 1, 3, 'videos/clips-text/1-3.mp4-013.mkv.flac.txt', '/videos/1/3.mp4.jpg'),
  (1114, '[CLIP] ', '/videos/clips/1-10.mp4-048.mkv', 0, 1, 10, 'videos/clips-text/1-10.mp4-048.mkv.flac.txt', '/videos/1/10.mp4.jpg'),
  (1115, '[CLIP] ', '/videos/clips/1-35.mp4-024.mkv', 0, 1, 35, 'videos/clips-text/1-35.mp4-024.mkv.flac.txt', '/videos/1/35.mp4.jpg'),
  (1116, '[CLIP] ', '/videos/clips/1-6.mp4-021.mkv', 0, 1, 6, 'videos/clips-text/1-6.mp4-021.mkv.flac.txt', '/videos/1/6.mp4.jpg'),
  (1117, '[CLIP] ', '/videos/clips/1-30.mp4-032.mkv', 0, 1, 30, 'videos/clips-text/1-30.mp4-032.mkv.flac.txt', '/videos/1/30.mp4.jpg'),
  (1118, '[CLIP] ', '/videos/clips/1-29.mp4-067.mkv', 0, 1, 29, 'videos/clips-text/1-29.mp4-067.mkv.flac.txt', '/videos/1/29.mp4.jpg'),
  (1119, '[CLIP] ', '/videos/clips/1-40.mp4-024.mkv', 0, 1, 40, 'videos/clips-text/1-40.mp4-024.mkv.flac.txt', '/videos/1/40.mp4.jpg'),
  (1120, '[CLIP] Common, Plaster, Find, Link, Distance', '/videos/clips/1-21.mp4-018.mkv', 0, 1, 21, 'videos/clips-text/1-21.mp4-018.mkv.flac.txt', '/videos/1/21.mp4.jpg'),
  (1121, '[CLIP] ', '/videos/clips/1-34.mp4-002.mkv', 0, 1, 34, 'videos/clips-text/1-34.mp4-002.mkv.flac.txt', '/videos/1/34.mp4.jpg');
  INSERT INTO `videos` (`id`, `title`, `url`, `view_count`, `is_clip`, `parent_id`, `description_url`, `img_url`) VALUES
  (1122, '[CLIP] ', '/videos/clips/1-31.mp4-025.mkv', 0, 1, 31, 'videos/clips-text/1-31.mp4-025.mkv.flac.txt', '/videos/1/31.mp4.jpg'),
  (1123, '[CLIP] ', '/videos/clips/1-29.mp4-028.mkv', 0, 1, 29, 'videos/clips-text/1-29.mp4-028.mkv.flac.txt', '/videos/1/29.mp4.jpg'),
  (1124, '[CLIP] ', '/videos/clips/1-27.mp4-039.mkv', 0, 1, 27, 'videos/clips-text/1-27.mp4-039.mkv.flac.txt', '/videos/1/27.mp4.jpg'),
  (1125, '[CLIP] Information Theory, Positive Examples, Entropy, Measure, Bits', '/videos/clips/1-37.mp4-029.mkv', 0, 1, 37, 'videos/clips-text/1-37.mp4-029.mkv.flac.txt', '/videos/1/37.mp4.jpg'),
  (1126, '[CLIP] ', '/videos/clips/1-40.mp4-029.mkv', 0, 1, 40, 'videos/clips-text/1-40.mp4-029.mkv.flac.txt', '/videos/1/40.mp4.jpg'),
  (1127, '[CLIP] ', '/videos/clips/1-11.mp4-027.mkv', 0, 1, 11, 'videos/clips-text/1-11.mp4-027.mkv.flac.txt', '/videos/1/11.mp4.jpg'),
  (1128, '[CLIP] ', '/videos/clips/1-47.mp4-001.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-001.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (1129, '[CLIP] ', '/videos/clips/1-2.mp4-014.mkv', 0, 1, 2, 'videos/clips-text/1-2.mp4-014.mkv.flac.txt', '/videos/1/2.mp4.jpg'),
  (1130, '[CLIP] ', '/videos/clips/1-28.mp4-007.mkv', 0, 1, 28, 'videos/clips-text/1-28.mp4-007.mkv.flac.txt', '/videos/1/28.mp4.jpg'),
  (1131, '[CLIP] ', '/videos/clips/1-37.mp4-055.mkv', 0, 1, 37, 'videos/clips-text/1-37.mp4-055.mkv.flac.txt', '/videos/1/37.mp4.jpg'),
  (1132, '[CLIP] ', '/videos/clips/1-4.mp4-021.mkv', 0, 1, 4, 'videos/clips-text/1-4.mp4-021.mkv.flac.txt', '/videos/1/4.mp4.jpg'),
  (1133, '[CLIP] ', '/videos/clips/1-33.mp4-007.mkv', 0, 1, 33, 'videos/clips-text/1-33.mp4-007.mkv.flac.txt', '/videos/1/33.mp4.jpg'),
  (1134, '[CLIP] 1 -, - 8, - 1, Partial Derivative, Log Likelihood', '/videos/clips/1-44.mp4-009.mkv', 0, 1, 44, 'videos/clips-text/1-44.mp4-009.mkv.flac.txt', '/videos/1/44.mp4.jpg'),
  (1135, '[CLIP] ', '/videos/clips/1-35.mp4-016.mkv', 0, 1, 35, 'videos/clips-text/1-35.mp4-016.mkv.flac.txt', '/videos/1/35.mp4.jpg'),
  (1136, '[CLIP] ', '/videos/clips/1-40.mp4-019.mkv', 0, 1, 40, 'videos/clips-text/1-40.mp4-019.mkv.flac.txt', '/videos/1/40.mp4.jpg'),
  (1137, '[CLIP] Features', '/videos/clips/1-22.mp4-027.mkv', 0, 1, 22, 'videos/clips-text/1-22.mp4-027.mkv.flac.txt', '/videos/1/22.mp4.jpg'),
  (1138, '[CLIP] Feature Space, Higher Dimensional, Dot Product, Time, Cases', '/videos/clips/1-36.mp4-008.mkv', 0, 1, 36, 'videos/clips-text/1-36.mp4-008.mkv.flac.txt', '/videos/1/36.mp4.jpg'),
  (1139, '[CLIP] ', '/videos/clips/1-37.mp4-025.mkv', 0, 1, 37, 'videos/clips-text/1-37.mp4-025.mkv.flac.txt', '/videos/1/37.mp4.jpg'),
  (1140, '[CLIP] ', '/videos/clips/1-35.mp4-015.mkv', 0, 1, 35, 'videos/clips-text/1-35.mp4-015.mkv.flac.txt', '/videos/1/35.mp4.jpg'),
  (1141, '[CLIP] ', '/videos/clips/1-17.mp4-002.mkv', 0, 1, 17, 'videos/clips-text/1-17.mp4-002.mkv.flac.txt', '/videos/1/17.mp4.jpg'),
  (1142, '[CLIP] ', '/videos/clips/1-41.mp4-038.mkv', 0, 1, 41, 'videos/clips-text/1-41.mp4-038.mkv.flac.txt', '/videos/1/41.mp4.jpg'),
  (1143, '[CLIP] ', '/videos/clips/1-15.mp4-031.mkv', 0, 1, 15, 'videos/clips-text/1-15.mp4-031.mkv.flac.txt', '/videos/1/15.mp4.jpg'),
  (1144, '[CLIP] Single Link, Similar Points, Object, Distance, Belongs', '/videos/clips/1-21.mp4-022.mkv', 0, 1, 21, 'videos/clips-text/1-21.mp4-022.mkv.flac.txt', '/videos/1/21.mp4.jpg'),
  (1145, '[CLIP] ', '/videos/clips/1-46.mp4-012.mkv', 0, 1, 46, 'videos/clips-text/1-46.mp4-012.mkv.flac.txt', '/videos/1/46.mp4.jpg'),
  (1146, '[CLIP] ', '/videos/clips/1-37.mp4-043.mkv', 0, 1, 37, 'videos/clips-text/1-37.mp4-043.mkv.flac.txt', '/videos/1/37.mp4.jpg'),
  (1147, '[CLIP] Straight Line', '/videos/clips/1-12.mp4-009.mkv', 0, 1, 12, 'videos/clips-text/1-12.mp4-009.mkv.flac.txt', '/videos/1/12.mp4.jpg'),
  (1148, '[CLIP] ', '/videos/clips/1-15.mp4-004.mkv', 0, 1, 15, 'videos/clips-text/1-15.mp4-004.mkv.flac.txt', '/videos/1/15.mp4.jpg'),
  (1149, '[CLIP] 1 -, Delta, Find, Network, Give', '/videos/clips/1-38.mp4-029.mkv', 0, 1, 38, 'videos/clips-text/1-38.mp4-029.mkv.flac.txt', '/videos/1/38.mp4.jpg'),
  (1150, '[CLIP] ', '/videos/clips/1-8.mp4-014.mkv', 0, 1, 8, 'videos/clips-text/1-8.mp4-014.mkv.flac.txt', '/videos/1/8.mp4.jpg'),
  (1151, '[CLIP] Linear Decision, Decision Boundary, 1 -, Excel Function, Single Person', '/videos/clips/1-38.mp4-011.mkv', 0, 1, 38, 'videos/clips-text/1-38.mp4-011.mkv.flac.txt', '/videos/1/38.mp4.jpg'),
  (1152, '[CLIP] ', '/videos/clips/1-31.mp4-002.mkv', 0, 1, 31, 'videos/clips-text/1-31.mp4-002.mkv.flac.txt', '/videos/1/31.mp4.jpg'),
  (1153, '[CLIP] ', '/videos/clips/1-3.mp4-020.mkv', 0, 1, 3, 'videos/clips-text/1-3.mp4-020.mkv.flac.txt', '/videos/1/3.mp4.jpg'),
  (1154, '[CLIP] ', '/videos/clips/1-2.mp4-015.mkv', 0, 1, 2, 'videos/clips-text/1-2.mp4-015.mkv.flac.txt', '/videos/1/2.mp4.jpg'),
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  (1460, '[CLIP] ', '/videos/clips/1-37.mp4-028.mkv', 0, 1, 37, 'videos/clips-text/1-37.mp4-028.mkv.flac.txt', '/videos/1/37.mp4.jpg'),
  (1461, '[CLIP] ', '/videos/clips/1-28.mp4-031.mkv', 0, 1, 28, 'videos/clips-text/1-28.mp4-031.mkv.flac.txt', '/videos/1/28.mp4.jpg'),
  (1462, '[CLIP] ', '/videos/clips/1-22.mp4-047.mkv', 0, 1, 22, 'videos/clips-text/1-22.mp4-047.mkv.flac.txt', '/videos/1/22.mp4.jpg'),
  (1463, '[CLIP] ', '/videos/clips/1-34.mp4-003.mkv', 0, 1, 34, 'videos/clips-text/1-34.mp4-003.mkv.flac.txt', '/videos/1/34.mp4.jpg'),
  (1464, '[CLIP] ', '/videos/clips/1-3.mp4-016.mkv', 0, 1, 3, 'videos/clips-text/1-3.mp4-016.mkv.flac.txt', '/videos/1/3.mp4.jpg'),
  (1465, '[CLIP] ', '/videos/clips/1-10.mp4-035.mkv', 0, 1, 10, 'videos/clips-text/1-10.mp4-035.mkv.flac.txt', '/videos/1/10.mp4.jpg'),
  (1466, '[CLIP] ', '/videos/clips/1-23.mp4-001.mkv', 0, 1, 23, 'videos/clips-text/1-23.mp4-001.mkv.flac.txt', '/videos/1/23.mp4.jpg'),
  (1467, '[CLIP] ', '/videos/clips/1-4.mp4-016.mkv', 0, 1, 4, 'videos/clips-text/1-4.mp4-016.mkv.flac.txt', '/videos/1/4.mp4.jpg'),
  (1468, '[CLIP] ', '/videos/clips/1-14.mp4-031.mkv', 0, 1, 14, 'videos/clips-text/1-14.mp4-031.mkv.flac.txt', '/videos/1/14.mp4.jpg'),
  (1469, '[CLIP] ', '/videos/clips/1-44.mp4-003.mkv', 0, 1, 44, 'videos/clips-text/1-44.mp4-003.mkv.flac.txt', '/videos/1/44.mp4.jpg'),
  (1470, '[CLIP] ', '/videos/clips/1-41.mp4-021.mkv', 0, 1, 41, 'videos/clips-text/1-41.mp4-021.mkv.flac.txt', '/videos/1/41.mp4.jpg'),
  (1471, '[CLIP] Equal', '/videos/clips/1-13.mp4-012.mkv', 0, 1, 13, 'videos/clips-text/1-13.mp4-012.mkv.flac.txt', '/videos/1/13.mp4.jpg'),
  (1472, '[CLIP] ', '/videos/clips/1-17.mp4-006.mkv', 0, 1, 17, 'videos/clips-text/1-17.mp4-006.mkv.flac.txt', '/videos/1/17.mp4.jpg'),
  (1473, '[CLIP] ', '/videos/clips/1-16.mp4-033.mkv', 0, 1, 16, 'videos/clips-text/1-16.mp4-033.mkv.flac.txt', '/videos/1/16.mp4.jpg'),
  (1474, '[CLIP] Nearest Neighbor, Query Point, Iris Flowers, Data Set, Neighbor Algorithm', '/videos/clips/1-30.mp4-010.mkv', 5, 1, 30, 'videos/clips-text/1-30.mp4-010.mkv.flac.txt', '/videos/1/30.mp4.jpg'),
  (1475, '[CLIP] ', '/videos/clips/1-36.mp4-003.mkv', 0, 1, 36, 'videos/clips-text/1-36.mp4-003.mkv.flac.txt', '/videos/1/36.mp4.jpg');
  INSERT INTO `videos` (`id`, `title`, `url`, `view_count`, `is_clip`, `parent_id`, `description_url`, `img_url`) VALUES
  (1476, '[CLIP] ', '/videos/clips/1-27.mp4-021.mkv', 0, 1, 27, 'videos/clips-text/1-27.mp4-021.mkv.flac.txt', '/videos/1/27.mp4.jpg'),
  (1477, '[CLIP] Geometric Margin, Equal, Greater, Maximize, Blue', '/videos/clips/1-8.mp4-012.mkv', 0, 1, 8, 'videos/clips-text/1-8.mp4-012.mkv.flac.txt', '/videos/1/8.mp4.jpg'),
  (1478, '[CLIP] ', '/videos/clips/1-15.mp4-032.mkv', 0, 1, 15, 'videos/clips-text/1-15.mp4-032.mkv.flac.txt', '/videos/1/15.mp4.jpg'),
  (1479, '[CLIP] ', '/videos/clips/1-30.mp4-012.mkv', 0, 1, 30, 'videos/clips-text/1-30.mp4-012.mkv.flac.txt', '/videos/1/30.mp4.jpg'),
  (1480, '[CLIP] ', '/videos/clips/1-11.mp4-042.mkv', 0, 1, 11, 'videos/clips-text/1-11.mp4-042.mkv.flac.txt', '/videos/1/11.mp4.jpg'),
  (1481, '[CLIP] Single Link, Complete Link, Apply Completely, Clusters, Objects', '/videos/clips/1-21.mp4-024.mkv', 0, 1, 21, 'videos/clips-text/1-21.mp4-024.mkv.flac.txt', '/videos/1/21.mp4.jpg'),
  (1482, '[CLIP] ', '/videos/clips/1-37.mp4-041.mkv', 0, 1, 37, 'videos/clips-text/1-37.mp4-041.mkv.flac.txt', '/videos/1/37.mp4.jpg'),
  (1483, '[CLIP] ', '/videos/clips/1-37.mp4-062.mkv', 0, 1, 37, 'videos/clips-text/1-37.mp4-062.mkv.flac.txt', '/videos/1/37.mp4.jpg'),
  (1484, '[CLIP] ', '/videos/clips/1-39.mp4-008.mkv', 0, 1, 39, 'videos/clips-text/1-39.mp4-008.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (1485, '[CLIP] ', '/videos/clips/1-41.mp4-029.mkv', 0, 1, 41, 'videos/clips-text/1-41.mp4-029.mkv.flac.txt', '/videos/1/41.mp4.jpg'),
  (1486, '[CLIP] ', '/videos/clips/1-27.mp4-044.mkv', 0, 1, 27, 'videos/clips-text/1-27.mp4-044.mkv.flac.txt', '/videos/1/27.mp4.jpg'),
  (1487, '[CLIP] ', '/videos/clips/1-45.mp4-008.mkv', 0, 1, 45, 'videos/clips-text/1-45.mp4-008.mkv.flac.txt', '/videos/1/45.mp4.jpg'),
  (1488, '[CLIP] ', '/videos/clips/1-28.mp4-002.mkv', 0, 1, 28, 'videos/clips-text/1-28.mp4-002.mkv.flac.txt', '/videos/1/28.mp4.jpg'),
  (1489, '[CLIP] ', '/videos/clips/1-40.mp4-031.mkv', 0, 1, 40, 'videos/clips-text/1-40.mp4-031.mkv.flac.txt', '/videos/1/40.mp4.jpg'),
  (1490, '[CLIP] ', '/videos/clips/1-12.mp4-004.mkv', 0, 1, 12, 'videos/clips-text/1-12.mp4-004.mkv.flac.txt', '/videos/1/12.mp4.jpg'),
  (1491, '[CLIP] ', '/videos/clips/1-11.mp4-044.mkv', 0, 1, 11, 'videos/clips-text/1-11.mp4-044.mkv.flac.txt', '/videos/1/11.mp4.jpg'),
  (1492, '[CLIP] ', '/videos/clips/1-22.mp4-022.mkv', 0, 1, 22, 'videos/clips-text/1-22.mp4-022.mkv.flac.txt', '/videos/1/22.mp4.jpg'),
  (1493, '[CLIP] Small Amount, Machine, Training, Validation, System', '/videos/clips/1-22.mp4-046.mkv', 0, 1, 22, 'videos/clips-text/1-22.mp4-046.mkv.flac.txt', '/videos/1/22.mp4.jpg'),
  (1494, '[CLIP] ', '/videos/clips/1-38.mp4-048.mkv', 0, 1, 38, 'videos/clips-text/1-38.mp4-048.mkv.flac.txt', '/videos/1/38.mp4.jpg'),
  (1495, '[CLIP] ', '/videos/clips/1-6.mp4-025.mkv', 0, 1, 6, 'videos/clips-text/1-6.mp4-025.mkv.flac.txt', '/videos/1/6.mp4.jpg'),
  (1496, '[CLIP] ', '/videos/clips/1-21.mp4-006.mkv', 0, 1, 21, 'videos/clips-text/1-21.mp4-006.mkv.flac.txt', '/videos/1/21.mp4.jpg'),
  (1497, '[CLIP] ', '/videos/clips/1-20.mp4-040.mkv', 0, 1, 20, 'videos/clips-text/1-20.mp4-040.mkv.flac.txt', '/videos/1/20.mp4.jpg'),
  (1498, '[CLIP] ', '/videos/clips/1-2.mp4-048.mkv', 0, 1, 2, 'videos/clips-text/1-2.mp4-048.mkv.flac.txt', '/videos/1/2.mp4.jpg'),
  (1499, '[CLIP] ', '/videos/clips/1-2.mp4-008.mkv', 0, 1, 2, 'videos/clips-text/1-2.mp4-008.mkv.flac.txt', '/videos/1/2.mp4.jpg'),
  (1500, '[CLIP] ', '/videos/clips/1-29.mp4-036.mkv', 0, 1, 29, 'videos/clips-text/1-29.mp4-036.mkv.flac.txt', '/videos/1/29.mp4.jpg'),
  (1501, '[CLIP] Training Examples, 26 Examples, Positive, Negative, Equal', '/videos/clips/1-37.mp4-016.mkv', 0, 1, 37, 'videos/clips-text/1-37.mp4-016.mkv.flac.txt', '/videos/1/37.mp4.jpg'),
  (1502, '[CLIP] Sample Letter, Sample Letters, True Weather, Sample Error, Called', '/videos/clips/1-32.mp4-012.mkv', 0, 1, 32, 'videos/clips-text/1-32.mp4-012.mkv.flac.txt', '/videos/1/32.mp4.jpg'),
  (1503, '[CLIP] ', '/videos/clips/1-9.mp4-022.mkv', 0, 1, 9, 'videos/clips-text/1-9.mp4-022.mkv.flac.txt', '/videos/1/9.mp4.jpg'),
  (1504, '[CLIP] ', '/videos/clips/1-30.mp4-009.mkv', 0, 1, 30, 'videos/clips-text/1-30.mp4-009.mkv.flac.txt', '/videos/1/30.mp4.jpg'),
  (1505, '[CLIP] ', '/videos/clips/1-31.mp4-032.mkv', 0, 1, 31, 'videos/clips-text/1-31.mp4-032.mkv.flac.txt', '/videos/1/31.mp4.jpg'),
  (1506, '[CLIP] ', '/videos/clips/1-28.mp4-018.mkv', 0, 1, 28, 'videos/clips-text/1-28.mp4-018.mkv.flac.txt', '/videos/1/28.mp4.jpg'),
  (1507, '[CLIP] ', '/videos/clips/1-28.mp4-006.mkv', 0, 1, 28, 'videos/clips-text/1-28.mp4-006.mkv.flac.txt', '/videos/1/28.mp4.jpg'),
  (1508, '[CLIP] ', '/videos/clips/1-29.mp4-064.mkv', 0, 1, 29, 'videos/clips-text/1-29.mp4-064.mkv.flac.txt', '/videos/1/29.mp4.jpg'),
  (1509, '[CLIP] Covariance Matrix, Full Covariance, Training Accuracy, Means, Talk', '/videos/clips/1-41.mp4-027.mkv', 0, 1, 41, 'videos/clips-text/1-41.mp4-027.mkv.flac.txt', '/videos/1/41.mp4.jpg'),
  (1510, '[CLIP] Maximum Distance, Problem, Rich, Richer, Clusters', '/videos/clips/1-20.mp4-031.mkv', 0, 1, 20, 'videos/clips-text/1-20.mp4-031.mkv.flac.txt', '/videos/1/20.mp4.jpg'),
  (1511, '[CLIP] ', '/videos/clips/1-3.mp4-014.mkv', 0, 1, 3, 'videos/clips-text/1-3.mp4-014.mkv.flac.txt', '/videos/1/3.mp4.jpg'),
  (1512, '[CLIP] ', '/videos/clips/1-45.mp4-042.mkv', 0, 1, 45, 'videos/clips-text/1-45.mp4-042.mkv.flac.txt', '/videos/1/45.mp4.jpg'),
  (1513, '[CLIP] ', '/videos/clips/1-36.mp4-037.mkv', 0, 1, 36, 'videos/clips-text/1-36.mp4-037.mkv.flac.txt', '/videos/1/36.mp4.jpg'),
  (1514, '[CLIP] Decision Tree, Training Data, Training Examples, Larger, Prime', '/videos/clips/1-1.mp4-004.mkv', 0, 1, 1, 'videos/clips-text/1-1.mp4-004.mkv.flac.txt', '/videos/1/1.mp4.jpg'),
  (1515, '[CLIP] 1 -, Decision Trees, Decision Tree, Hypothesis Space, Class 1', '/videos/clips/1-24.mp4-007.mkv', 1, 1, 24, 'videos/clips-text/1-24.mp4-007.mkv.flac.txt', '/videos/1/24.mp4.jpg'),
  (1516, '[CLIP] Human Brain, Complex, Billions, Highly, Neurons', '/videos/clips/1-33.mp4-008.mkv', 0, 1, 33, 'videos/clips-text/1-33.mp4-008.mkv.flac.txt', '/videos/1/33.mp4.jpg'),
  (1517, '[CLIP] ', '/videos/clips/1-4.mp4-013.mkv', 0, 1, 4, 'videos/clips-text/1-4.mp4-013.mkv.flac.txt', '/videos/1/4.mp4.jpg'),
  (1518, '[CLIP] ', '/videos/clips/1-38.mp4-053.mkv', 0, 1, 38, 'videos/clips-text/1-38.mp4-053.mkv.flac.txt', '/videos/1/38.mp4.jpg'),
  (1519, '[CLIP] ', '/videos/clips/1-40.mp4-016.mkv', 0, 1, 40, 'videos/clips-text/1-40.mp4-016.mkv.flac.txt', '/videos/1/40.mp4.jpg'),
  (1520, '[CLIP] ', '/videos/clips/1-21.mp4-023.mkv', 0, 1, 21, 'videos/clips-text/1-21.mp4-023.mkv.flac.txt', '/videos/1/21.mp4.jpg'),
  (1521, '[CLIP] ', '/videos/clips/1-37.mp4-036.mkv', 0, 1, 37, 'videos/clips-text/1-37.mp4-036.mkv.flac.txt', '/videos/1/37.mp4.jpg'),
  (1522, '[CLIP] ', '/videos/clips/1-39.mp4-029.mkv', 0, 1, 39, 'videos/clips-text/1-39.mp4-029.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (1523, '[CLIP] Problems, Scores, Class', '/videos/clips/1-12.mp4-005.mkv', 0, 1, 12, 'videos/clips-text/1-12.mp4-005.mkv.flac.txt', '/videos/1/12.mp4.jpg'),
  (1524, '[CLIP] ', '/videos/clips/1-14.mp4-026.mkv', 0, 1, 14, 'videos/clips-text/1-14.mp4-026.mkv.flac.txt', '/videos/1/14.mp4.jpg'),
  (1525, '[CLIP] Classification Problem, Feature Space, Inductive Learning, Learning Problems, Features', '/videos/clips/1-10.mp4-009.mkv', 0, 1, 10, 'videos/clips-text/1-10.mp4-009.mkv.flac.txt', '/videos/1/10.mp4.jpg'),
  (1526, '[CLIP] ', '/videos/clips/1-39.mp4-055.mkv', 0, 1, 39, 'videos/clips-text/1-39.mp4-055.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (1527, '[CLIP] ', '/videos/clips/1-15.mp4-027.mkv', 0, 1, 15, 'videos/clips-text/1-15.mp4-027.mkv.flac.txt', '/videos/1/15.mp4.jpg'),
  (1528, '[CLIP] ', '/videos/clips/1-38.mp4-046.mkv', 0, 1, 38, 'videos/clips-text/1-38.mp4-046.mkv.flac.txt', '/videos/1/38.mp4.jpg'),
  (1529, '[CLIP] ', '/videos/clips/1-2.mp4-050.mkv', 0, 1, 2, 'videos/clips-text/1-2.mp4-050.mkv.flac.txt', '/videos/1/2.mp4.jpg'),
  (1530, '[CLIP] ', '/videos/clips/1-20.mp4-003.mkv', 0, 1, 20, 'videos/clips-text/1-20.mp4-003.mkv.flac.txt', '/videos/1/20.mp4.jpg'),
  (1531, '[CLIP] ', '/videos/clips/1-7.mp4-001.mkv', 0, 1, 7, 'videos/clips-text/1-7.mp4-001.mkv.flac.txt', '/videos/1/7.mp4.jpg'),
  (1532, '[CLIP] ', '/videos/clips/1-45.mp4-039.mkv', 0, 1, 45, 'videos/clips-text/1-45.mp4-039.mkv.flac.txt', '/videos/1/45.mp4.jpg'),
  (1533, '[CLIP] ', '/videos/clips/1-40.mp4-046.mkv', 0, 1, 40, 'videos/clips-text/1-40.mp4-046.mkv.flac.txt', '/videos/1/40.mp4.jpg'),
  (1534, '[CLIP] ', '/videos/clips/1-15.mp4-003.mkv', 0, 1, 15, 'videos/clips-text/1-15.mp4-003.mkv.flac.txt', '/videos/1/15.mp4.jpg'),
  (1535, '[CLIP] ', '/videos/clips/1-35.mp4-017.mkv', 0, 1, 35, 'videos/clips-text/1-35.mp4-017.mkv.flac.txt', '/videos/1/35.mp4.jpg'),
  (1536, '[CLIP] ', '/videos/clips/1-36.mp4-019.mkv', 0, 1, 36, 'videos/clips-text/1-36.mp4-019.mkv.flac.txt', '/videos/1/36.mp4.jpg'),
  (1537, '[CLIP] ', '/videos/clips/1-39.mp4-007.mkv', 0, 1, 39, 'videos/clips-text/1-39.mp4-007.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (1538, '[CLIP] ', '/videos/clips/1-4.mp4-025.mkv', 0, 1, 4, 'videos/clips-text/1-4.mp4-025.mkv.flac.txt', '/videos/1/4.mp4.jpg'),
  (1539, '[CLIP] Random Variables, Vector, Features, Assume, 2', '/videos/clips/1-39.mp4-044.mkv', 0, 1, 39, 'videos/clips-text/1-39.mp4-044.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (1540, '[CLIP] ', '/videos/clips/1-12.mp4-006.mkv', 0, 1, 12, 'videos/clips-text/1-12.mp4-006.mkv.flac.txt', '/videos/1/12.mp4.jpg'),
  (1541, '[CLIP] Data Underscore, Underscore Train, Training Validation, Test, Equal', '/videos/clips/1-27.mp4-013.mkv', 0, 1, 27, 'videos/clips-text/1-27.mp4-013.mkv.flac.txt', '/videos/1/27.mp4.jpg'),
  (1542, '[CLIP] ', '/videos/clips/1-2.mp4-006.mkv', 0, 1, 2, 'videos/clips-text/1-2.mp4-006.mkv.flac.txt', '/videos/1/2.mp4.jpg'),
  (1543, '[CLIP] Learning Task, Data, Develop, Tasks, Album', '/videos/clips/1-40.mp4-010.mkv', 0, 1, 40, 'videos/clips-text/1-40.mp4-010.mkv.flac.txt', '/videos/1/40.mp4.jpg'),
  (1544, '[CLIP] ', '/videos/clips/1-10.mp4-028.mkv', 0, 1, 10, 'videos/clips-text/1-10.mp4-028.mkv.flac.txt', '/videos/1/10.mp4.jpg'),
  (1545, '[CLIP] ', '/videos/clips/1-17.mp4-020.mkv', 0, 1, 17, 'videos/clips-text/1-17.mp4-020.mkv.flac.txt', '/videos/1/17.mp4.jpg'),
  (1546, '[CLIP] ', '/videos/clips/1-15.mp4-020.mkv', 0, 1, 15, 'videos/clips-text/1-15.mp4-020.mkv.flac.txt', '/videos/1/15.mp4.jpg'),
  (1547, '[CLIP] ', '/videos/clips/1-2.mp4-013.mkv', 0, 1, 2, 'videos/clips-text/1-2.mp4-013.mkv.flac.txt', '/videos/1/2.mp4.jpg'),
  (1548, '[CLIP] ', '/videos/clips/1-2.mp4-023.mkv', 0, 1, 2, 'videos/clips-text/1-2.mp4-023.mkv.flac.txt', '/videos/1/2.mp4.jpg'),
  (1549, '[CLIP] ', '/videos/clips/1-19.mp4-007.mkv', 0, 1, 19, 'videos/clips-text/1-19.mp4-007.mkv.flac.txt', '/videos/1/19.mp4.jpg'),
  (1550, '[CLIP] ', '/videos/clips/1-47.mp4-050.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-050.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (1551, '[CLIP] Microsoft Corporation, Word, Company, Image, Words', '/videos/clips/1-34.mp4-044.mkv', 0, 1, 34, 'videos/clips-text/1-34.mp4-044.mkv.flac.txt', '/videos/1/34.mp4.jpg'),
  (1552, '[CLIP] ', '/videos/clips/1-10.mp4-047.mkv', 0, 1, 10, 'videos/clips-text/1-10.mp4-047.mkv.flac.txt', '/videos/1/10.mp4.jpg'),
  (1553, '[CLIP] ', '/videos/clips/1-41.mp4-039.mkv', 0, 1, 41, 'videos/clips-text/1-41.mp4-039.mkv.flac.txt', '/videos/1/41.mp4.jpg'),
  (1554, '[CLIP] ', '/videos/clips/1-36.mp4-007.mkv', 0, 1, 36, 'videos/clips-text/1-36.mp4-007.mkv.flac.txt', '/videos/1/36.mp4.jpg'),
  (1555, '[CLIP] Training Set, Decision Boundary, Train, Index, Data', '/videos/clips/1-35.mp4-011.mkv', 0, 1, 35, 'videos/clips-text/1-35.mp4-011.mkv.flac.txt', '/videos/1/35.mp4.jpg'),
  (1556, '[CLIP] ', '/videos/clips/1-38.mp4-004.mkv', 0, 1, 38, 'videos/clips-text/1-38.mp4-004.mkv.flac.txt', '/videos/1/38.mp4.jpg'),
  (1557, '[CLIP] ', '/videos/clips/1-27.mp4-017.mkv', 0, 1, 27, 'videos/clips-text/1-27.mp4-017.mkv.flac.txt', '/videos/1/27.mp4.jpg'),
  (1558, '[CLIP] Total Number, Equal, Balls, 3, 03', '/videos/clips/1-39.mp4-012.mkv', 0, 1, 39, 'videos/clips-text/1-39.mp4-012.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (1559, '[CLIP] ', '/videos/clips/1-47.mp4-016.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-016.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (1560, '[CLIP] ', '/videos/clips/1-31.mp4-009.mkv', 0, 1, 31, 'videos/clips-text/1-31.mp4-009.mkv.flac.txt', '/videos/1/31.mp4.jpg'),
  (1561, '[CLIP] ', '/videos/clips/1-32.mp4-024.mkv', 0, 1, 32, 'videos/clips-text/1-32.mp4-024.mkv.flac.txt', '/videos/1/32.mp4.jpg'),
  (1562, '[CLIP] ', '/videos/clips/1-11.mp4-001.mkv', 0, 1, 11, 'videos/clips-text/1-11.mp4-001.mkv.flac.txt', '/videos/1/11.mp4.jpg'),
  (1563, '[CLIP] ', '/videos/clips/1-9.mp4-024.mkv', 0, 1, 9, 'videos/clips-text/1-9.mp4-024.mkv.flac.txt', '/videos/1/9.mp4.jpg'),
  (1564, '[CLIP] ', '/videos/clips/1-47.mp4-014.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-014.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (1565, '[CLIP] Input, Labels, Size, Inputs, Representation', '/videos/clips/1-29.mp4-069.mkv', 0, 1, 29, 'videos/clips-text/1-29.mp4-069.mkv.flac.txt', '/videos/1/29.mp4.jpg'),
  (1566, '[CLIP] ', '/videos/clips/1-37.mp4-048.mkv', 0, 1, 37, 'videos/clips-text/1-37.mp4-048.mkv.flac.txt', '/videos/1/37.mp4.jpg'),
  (1567, '[CLIP] ', '/videos/clips/1-29.mp4-075.mkv', 0, 1, 29, 'videos/clips-text/1-29.mp4-075.mkv.flac.txt', '/videos/1/29.mp4.jpg'),
  (1568, '[CLIP] ', '/videos/clips/1-16.mp4-030.mkv', 0, 1, 16, 'videos/clips-text/1-16.mp4-030.mkv.flac.txt', '/videos/1/16.mp4.jpg'),
  (1569, '[CLIP] ', '/videos/clips/1-47.mp4-054.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-054.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (1570, '[CLIP] Average Length, Single, Similarity, Completely, Talked', '/videos/clips/1-21.mp4-026.mkv', 0, 1, 21, 'videos/clips-text/1-21.mp4-026.mkv.flac.txt', '/videos/1/21.mp4.jpg'),
  (1571, '[CLIP] ', '/videos/clips/1-47.mp4-002.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-002.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (1572, '[CLIP] Kind, Age', '/videos/clips/1-22.mp4-032.mkv', 0, 1, 22, 'videos/clips-text/1-22.mp4-032.mkv.flac.txt', '/videos/1/22.mp4.jpg'),
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  (1574, '[CLIP] ', '/videos/clips/1-40.mp4-023.mkv', 0, 1, 40, 'videos/clips-text/1-40.mp4-023.mkv.flac.txt', '/videos/1/40.mp4.jpg'),
  (1575, '[CLIP] ', '/videos/clips/1-15.mp4-022.mkv', 0, 1, 15, 'videos/clips-text/1-15.mp4-022.mkv.flac.txt', '/videos/1/15.mp4.jpg'),
  (1576, '[CLIP] ', '/videos/clips/1-42.mp4-026.mkv', 0, 1, 42, 'videos/clips-text/1-42.mp4-026.mkv.flac.txt', '/videos/1/42.mp4.jpg'),
  (1577, '[CLIP] ', '/videos/clips/1-39.mp4-045.mkv', 0, 1, 39, 'videos/clips-text/1-39.mp4-045.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (1578, '[CLIP] ', '/videos/clips/1-20.mp4-013.mkv', 0, 1, 20, 'videos/clips-text/1-20.mp4-013.mkv.flac.txt', '/videos/1/20.mp4.jpg'),
  (1579, '[CLIP] ', '/videos/clips/1-18.mp4-004.mkv', 0, 1, 18, 'videos/clips-text/1-18.mp4-004.mkv.flac.txt', '/videos/1/18.mp4.jpg'),
  (1580, '[CLIP] ', '/videos/clips/1-34.mp4-010.mkv', 0, 1, 34, 'videos/clips-text/1-34.mp4-010.mkv.flac.txt', '/videos/1/34.mp4.jpg'),
  (1581, '[CLIP] ', '/videos/clips/1-38.mp4-026.mkv', 0, 1, 38, 'videos/clips-text/1-38.mp4-026.mkv.flac.txt', '/videos/1/38.mp4.jpg'),
  (1582, '[CLIP] ', '/videos/clips/1-1.mp4-045.mkv', 0, 1, 1, 'videos/clips-text/1-1.mp4-045.mkv.flac.txt', '/videos/1/1.mp4.jpg'),
  (1583, '[CLIP] ', '/videos/clips/1-21.mp4-002.mkv', 0, 1, 21, 'videos/clips-text/1-21.mp4-002.mkv.flac.txt', '/videos/1/21.mp4.jpg'),
  (1584, '[CLIP] ', '/videos/clips/1-2.mp4-033.mkv', 0, 1, 2, 'videos/clips-text/1-2.mp4-033.mkv.flac.txt', '/videos/1/2.mp4.jpg'),
  (1585, '[CLIP] ', '/videos/clips/1-47.mp4-018.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-018.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (1586, '[CLIP] ', '/videos/clips/1-21.mp4-028.mkv', 0, 1, 21, 'videos/clips-text/1-21.mp4-028.mkv.flac.txt', '/videos/1/21.mp4.jpg'),
  (1587, '[CLIP] Methods', '/videos/clips/1-1.mp4-021.mkv', 0, 1, 1, 'videos/clips-text/1-1.mp4-021.mkv.flac.txt', '/videos/1/1.mp4.jpg'),
  (1588, '[CLIP] Target Function, Training, Choose, Represent, Move', '/videos/clips/1-18.mp4-013.mkv', 0, 1, 18, 'videos/clips-text/1-18.mp4-013.mkv.flac.txt', '/videos/1/18.mp4.jpg'),
  (1589, '[CLIP] ', '/videos/clips/1-34.mp4-015.mkv', 0, 1, 34, 'videos/clips-text/1-34.mp4-015.mkv.flac.txt', '/videos/1/34.mp4.jpg'),
  (1590, '[CLIP] ', '/videos/clips/1-21.mp4-021.mkv', 0, 1, 21, 'videos/clips-text/1-21.mp4-021.mkv.flac.txt', '/videos/1/21.mp4.jpg'),
  (1591, '[CLIP] ', '/videos/clips/1-36.mp4-028.mkv', 0, 1, 36, 'videos/clips-text/1-36.mp4-028.mkv.flac.txt', '/videos/1/36.mp4.jpg'),
  (1592, '[CLIP] ', '/videos/clips/1-45.mp4-036.mkv', 0, 1, 45, 'videos/clips-text/1-45.mp4-036.mkv.flac.txt', '/videos/1/45.mp4.jpg'),
  (1593, '[CLIP] ', '/videos/clips/1-7.mp4-025.mkv', 0, 1, 7, 'videos/clips-text/1-7.mp4-025.mkv.flac.txt', '/videos/1/7.mp4.jpg'),
  (1594, '[CLIP] ', '/videos/clips/1-25.mp4-005.mkv', 0, 1, 25, 'videos/clips-text/1-25.mp4-005.mkv.flac.txt', '/videos/1/25.mp4.jpg'),
  (1595, '[CLIP] ', '/videos/clips/1-15.mp4-028.mkv', 0, 1, 15, 'videos/clips-text/1-15.mp4-028.mkv.flac.txt', '/videos/1/15.mp4.jpg'),
  (1596, '[CLIP] Important', '/videos/clips/1-22.mp4-041.mkv', 0, 1, 22, 'videos/clips-text/1-22.mp4-041.mkv.flac.txt', '/videos/1/22.mp4.jpg'),
  (1597, '[CLIP] ', '/videos/clips/1-36.mp4-027.mkv', 0, 1, 36, 'videos/clips-text/1-36.mp4-027.mkv.flac.txt', '/videos/1/36.mp4.jpg'),
  (1598, '[CLIP] Local Minima, Network, Units, Noodle, Minnie', '/videos/clips/1-38.mp4-055.mkv', 0, 1, 38, 'videos/clips-text/1-38.mp4-055.mkv.flac.txt', '/videos/1/38.mp4.jpg'),
  (1599, '[CLIP] Function', '/videos/clips/1-10.mp4-025.mkv', 0, 1, 10, 'videos/clips-text/1-10.mp4-025.mkv.flac.txt', '/videos/1/10.mp4.jpg'),
  (1600, '[CLIP] ', '/videos/clips/1-22.mp4-018.mkv', 5, 1, 22, 'videos/clips-text/1-22.mp4-018.mkv.flac.txt', '/videos/1/22.mp4.jpg'),
  (1601, '[CLIP] Features, Information, Distance, Classification, Power', '/videos/clips/1-6.mp4-007.mkv', 0, 1, 6, 'videos/clips-text/1-6.mp4-007.mkv.flac.txt', '/videos/1/6.mp4.jpg'),
  (1602, '[CLIP] ', '/videos/clips/1-47.mp4-046.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-046.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (1603, '[CLIP] Unfold, Xt, 1', '/videos/clips/1-11.mp4-053.mkv', 0, 1, 11, 'videos/clips-text/1-11.mp4-053.mkv.flac.txt', '/videos/1/11.mp4.jpg'),
  (1604, '[CLIP] ', '/videos/clips/1-47.mp4-058.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-058.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (1605, '[CLIP] Users, Items, User, Item, Sigma', '/videos/clips/1-42.mp4-025.mkv', 0, 1, 42, 'videos/clips-text/1-42.mp4-025.mkv.flac.txt', '/videos/1/42.mp4.jpg'),
  (1606, '[CLIP] ', '/videos/clips/1-31.mp4-036.mkv', 0, 1, 31, 'videos/clips-text/1-31.mp4-036.mkv.flac.txt', '/videos/1/31.mp4.jpg'),
  (1607, '[CLIP] ', '/videos/clips/1-23.mp4-004.mkv', 0, 1, 23, 'videos/clips-text/1-23.mp4-004.mkv.flac.txt', '/videos/1/23.mp4.jpg'),
  (1608, '[CLIP] ', '/videos/clips/1-37.mp4-063.mkv', 0, 1, 37, 'videos/clips-text/1-37.mp4-063.mkv.flac.txt', '/videos/1/37.mp4.jpg'),
  (1609, '[CLIP] Likelihood Estimation, Maximum Likelihood, Find, Knew, Parameter', '/videos/clips/1-20.mp4-044.mkv', 1, 1, 20, 'videos/clips-text/1-20.mp4-044.mkv.flac.txt', '/videos/1/20.mp4.jpg'),
  (1610, '[CLIP] ', '/videos/clips/1-17.mp4-021.mkv', 0, 1, 17, 'videos/clips-text/1-17.mp4-021.mkv.flac.txt', '/videos/1/17.mp4.jpg'),
  (1611, '[CLIP] ', '/videos/clips/1-39.mp4-031.mkv', 0, 1, 39, 'videos/clips-text/1-39.mp4-031.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (1612, '[CLIP] Pulling', '/videos/clips/1-11.mp4-040.mkv', 0, 1, 11, 'videos/clips-text/1-11.mp4-040.mkv.flac.txt', '/videos/1/11.mp4.jpg'),
  (1613, '[CLIP] ', '/videos/clips/1-2.mp4-042.mkv', 0, 1, 2, 'videos/clips-text/1-2.mp4-042.mkv.flac.txt', '/videos/1/2.mp4.jpg'),
  (1614, '[CLIP] ', '/videos/clips/1-29.mp4-023.mkv', 0, 1, 29, 'videos/clips-text/1-29.mp4-023.mkv.flac.txt', '/videos/1/29.mp4.jpg'),
  (1615, '[CLIP] Playing Tennis, Maximum Likelihood, Knife Face, 9 Play, Number', '/videos/clips/1-7.mp4-019.mkv', 1, 1, 7, 'videos/clips-text/1-7.mp4-019.mkv.flac.txt', '/videos/1/7.mp4.jpg'),
  (1616, '[CLIP] ', '/videos/clips/1-34.mp4-054.mkv', 0, 1, 34, 'videos/clips-text/1-34.mp4-054.mkv.flac.txt', '/videos/1/34.mp4.jpg'),
  (1617, '[CLIP] Instances, Hypothesis, Space, Instance, Positive', '/videos/clips/1-40.mp4-030.mkv', 0, 1, 40, 'videos/clips-text/1-40.mp4-030.mkv.flac.txt', '/videos/1/40.mp4.jpg'),
  (1618, '[CLIP] ', '/videos/clips/1-47.mp4-011.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-011.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (1619, '[CLIP] Inconsistent Case, Silent', '/videos/clips/1-16.mp4-015.mkv', 0, 1, 16, 'videos/clips-text/1-16.mp4-015.mkv.flac.txt', '/videos/1/16.mp4.jpg'),
  (1620, '[CLIP] Minimum Distance, Clusters, Points, Closest, Close', '/videos/clips/1-20.mp4-025.mkv', 0, 1, 20, 'videos/clips-text/1-20.mp4-025.mkv.flac.txt', '/videos/1/20.mp4.jpg'),
  (1621, '[CLIP] ', '/videos/clips/1-41.mp4-036.mkv', 0, 1, 41, 'videos/clips-text/1-41.mp4-036.mkv.flac.txt', '/videos/1/41.mp4.jpg'),
  (1622, '[CLIP] Degree Polynomials, Bias, Boolean, Functions, Function', '/videos/clips/1-10.mp4-031.mkv', 0, 1, 10, 'videos/clips-text/1-10.mp4-031.mkv.flac.txt', '/videos/1/10.mp4.jpg'),
  (1623, '[CLIP] Random Variables, Graphical Model, Business, Distributions, Distribution', '/videos/clips/1-39.mp4-056.mkv', 0, 1, 39, 'videos/clips-text/1-39.mp4-056.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (1624, '[CLIP] ', '/videos/clips/1-4.mp4-035.mkv', 0, 1, 4, 'videos/clips-text/1-4.mp4-035.mkv.flac.txt', '/videos/1/4.mp4.jpg'),
  (1625, '[CLIP] Sunny Warm, Specific Hypothesis, Current Hypothesis, Specific Type, Training', '/videos/clips/1-16.mp4-027.mkv', 0, 1, 16, 'videos/clips-text/1-16.mp4-027.mkv.flac.txt', '/videos/1/16.mp4.jpg'),
  (1626, '[CLIP] ', '/videos/clips/1-22.mp4-014.mkv', 0, 1, 22, 'videos/clips-text/1-22.mp4-014.mkv.flac.txt', '/videos/1/22.mp4.jpg'),
  (1627, '[CLIP] ', '/videos/clips/1-43.mp4-003.mkv', 0, 1, 43, 'videos/clips-text/1-43.mp4-003.mkv.flac.txt', '/videos/1/43.mp4.jpg'),
  (1628, '[CLIP] ', '/videos/clips/1-35.mp4-002.mkv', 0, 1, 35, 'videos/clips-text/1-35.mp4-002.mkv.flac.txt', '/videos/1/35.mp4.jpg'),
  (1629, '[CLIP] ', '/videos/clips/1-10.mp4-037.mkv', 0, 1, 10, 'videos/clips-text/1-10.mp4-037.mkv.flac.txt', '/videos/1/10.mp4.jpg'),
  (1630, '[CLIP] ', '/videos/clips/1-38.mp4-032.mkv', 0, 1, 38, 'videos/clips-text/1-38.mp4-032.mkv.flac.txt', '/videos/1/38.mp4.jpg'),
  (1631, '[CLIP] ', '/videos/clips/1-30.mp4-023.mkv', 0, 1, 30, 'videos/clips-text/1-30.mp4-023.mkv.flac.txt', '/videos/1/30.mp4.jpg'),
  (1632, '[CLIP] Hypothesis Space, Epps Island, Examples, Size, Training', '/videos/clips/1-40.mp4-045.mkv', 0, 1, 40, 'videos/clips-text/1-40.mp4-045.mkv.flac.txt', '/videos/1/40.mp4.jpg'),
  (1633, '[CLIP] ', '/videos/clips/1-30.mp4-011.mkv', 0, 1, 30, 'videos/clips-text/1-30.mp4-011.mkv.flac.txt', '/videos/1/30.mp4.jpg'),
  (1634, '[CLIP] ', '/videos/clips/1-11.mp4-002.mkv', 0, 1, 11, 'videos/clips-text/1-11.mp4-002.mkv.flac.txt', '/videos/1/11.mp4.jpg'),
  (1635, '[CLIP] ', '/videos/clips/1-1.mp4-027.mkv', 0, 1, 1, 'videos/clips-text/1-1.mp4-027.mkv.flac.txt', '/videos/1/1.mp4.jpg'),
  (1636, '[CLIP] Accuracy, Training, Reducing, Notes, Grown', '/videos/clips/1-1.mp4-039.mkv', 0, 1, 1, 'videos/clips-text/1-1.mp4-039.mkv.flac.txt', '/videos/1/1.mp4.jpg'),
  (1637, '[CLIP] ', '/videos/clips/1-4.mp4-018.mkv', 0, 1, 4, 'videos/clips-text/1-4.mp4-018.mkv.flac.txt', '/videos/1/4.mp4.jpg'),
  (1638, '[CLIP] ', '/videos/clips/1-41.mp4-010.mkv', 0, 1, 41, 'videos/clips-text/1-41.mp4-010.mkv.flac.txt', '/videos/1/41.mp4.jpg'),
  (1639, '[CLIP] ', '/videos/clips/1-2.mp4-030.mkv', 0, 1, 2, 'videos/clips-text/1-2.mp4-030.mkv.flac.txt', '/videos/1/2.mp4.jpg'),
  (1640, '[CLIP] ', '/videos/clips/1-40.mp4-022.mkv', 0, 1, 40, 'videos/clips-text/1-40.mp4-022.mkv.flac.txt', '/videos/1/40.mp4.jpg'),
  (1641, '[CLIP] ', '/videos/clips/1-31.mp4-028.mkv', 0, 1, 31, 'videos/clips-text/1-31.mp4-028.mkv.flac.txt', '/videos/1/31.mp4.jpg'),
  (1642, '[CLIP] ', '/videos/clips/1-17.mp4-001.mkv', 0, 1, 17, 'videos/clips-text/1-17.mp4-001.mkv.flac.txt', '/videos/1/17.mp4.jpg'),
  (1643, '[CLIP] ', '/videos/clips/1-28.mp4-034.mkv', 0, 1, 28, 'videos/clips-text/1-28.mp4-034.mkv.flac.txt', '/videos/1/28.mp4.jpg'),
  (1644, '[CLIP] ', '/videos/clips/1-20.mp4-020.mkv', 0, 1, 20, 'videos/clips-text/1-20.mp4-020.mkv.flac.txt', '/videos/1/20.mp4.jpg'),
  (1645, '[CLIP] Sigmoid Function, Function Similar, Functions, Blue, Problems', '/videos/clips/1-11.mp4-023.mkv', 3, 1, 11, 'videos/clips-text/1-11.mp4-023.mkv.flac.txt', '/videos/1/11.mp4.jpg'),
  (1646, '[CLIP] ', '/videos/clips/1-47.mp4-038.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-038.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (1647, '[CLIP] ', '/videos/clips/1-39.mp4-003.mkv', 0, 1, 39, 'videos/clips-text/1-39.mp4-003.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (1648, '[CLIP] ', '/videos/clips/1-39.mp4-060.mkv', 0, 1, 39, 'videos/clips-text/1-39.mp4-060.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (1649, '[CLIP] Bayesian Network, Rainy Day, Traffic Jam, Conditional Independence, Probability Distribution', '/videos/clips/1-23.mp4-007.mkv', 0, 1, 23, 'videos/clips-text/1-23.mp4-007.mkv.flac.txt', '/videos/1/23.mp4.jpg'),
  (1650, '[CLIP] Population Line, Actual Line, Points, Slope, Parameters', '/videos/clips/1-47.mp4-026.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-026.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (1651, '[CLIP] Maximum Improvement, Feature Set, Empty Feature, Removing Features, Search', '/videos/clips/1-6.mp4-017.mkv', 0, 1, 6, 'videos/clips-text/1-6.mp4-017.mkv.flac.txt', '/videos/1/6.mp4.jpg'),
  (1652, '[CLIP] Class', '/videos/clips/1-22.mp4-021.mkv', 0, 1, 22, 'videos/clips-text/1-22.mp4-021.mkv.flac.txt', '/videos/1/22.mp4.jpg'),
  (1653, '[CLIP] ', '/videos/clips/1-34.mp4-014.mkv', 0, 1, 34, 'videos/clips-text/1-34.mp4-014.mkv.flac.txt', '/videos/1/34.mp4.jpg'),
  (1654, '[CLIP] ', '/videos/clips/1-15.mp4-021.mkv', 0, 1, 15, 'videos/clips-text/1-15.mp4-021.mkv.flac.txt', '/videos/1/15.mp4.jpg'),
  (1655, '[CLIP] Training Data, Consistent Hypothesis, Examples, Based, Output', '/videos/clips/1-10.mp4-033.mkv', 0, 1, 10, 'videos/clips-text/1-10.mp4-033.mkv.flac.txt', '/videos/1/10.mp4.jpg'),
  (1656, '[CLIP] ', '/videos/clips/1-40.mp4-017.mkv', 0, 1, 40, 'videos/clips-text/1-40.mp4-017.mkv.flac.txt', '/videos/1/40.mp4.jpg'),
  (1657, '[CLIP] ', '/videos/clips/1-11.mp4-039.mkv', 0, 1, 11, 'videos/clips-text/1-11.mp4-039.mkv.flac.txt', '/videos/1/11.mp4.jpg'),
  (1658, '[CLIP] ', '/videos/clips/1-37.mp4-001.mkv', 0, 1, 37, 'videos/clips-text/1-37.mp4-001.mkv.flac.txt', '/videos/1/37.mp4.jpg'),
  (1659, '[CLIP] Epsilon, Delta, Features, Values, Exam', '/videos/clips/1-16.mp4-021.mkv', 0, 1, 16, 'videos/clips-text/1-16.mp4-021.mkv.flac.txt', '/videos/1/16.mp4.jpg'),
  (1660, '[CLIP] ', '/videos/clips/1-34.mp4-022.mkv', 0, 1, 34, 'videos/clips-text/1-34.mp4-022.mkv.flac.txt', '/videos/1/34.mp4.jpg'),
  (1661, '[CLIP] ', '/videos/clips/1-29.mp4-032.mkv', 0, 1, 29, 'videos/clips-text/1-29.mp4-032.mkv.flac.txt', '/videos/1/29.mp4.jpg'),
  (1662, '[CLIP] Approximately Correct, Instant Space, Correct Hypothesis, 1 -, Hypothesis Space', '/videos/clips/1-40.mp4-012.mkv', 0, 1, 40, 'videos/clips-text/1-40.mp4-012.mkv.flac.txt', '/videos/1/40.mp4.jpg'),
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  (1765, '[CLIP] ', '/videos/clips/1-3.mp4-004.mkv', 0, 1, 3, 'videos/clips-text/1-3.mp4-004.mkv.flac.txt', '/videos/1/3.mp4.jpg'),
  (1766, '[CLIP] ', '/videos/clips/1-16.mp4-009.mkv', 0, 1, 16, 'videos/clips-text/1-16.mp4-009.mkv.flac.txt', '/videos/1/16.mp4.jpg'),
  (1767, '[CLIP] Covariance Matrix, Highest Magnitude, Eigenvectors, Training, Data', '/videos/clips/1-30.mp4-026.mkv', 0, 1, 30, 'videos/clips-text/1-30.mp4-026.mkv.flac.txt', '/videos/1/30.mp4.jpg'),
  (1768, '[CLIP] ', '/videos/clips/1-38.mp4-017.mkv', 0, 1, 38, 'videos/clips-text/1-38.mp4-017.mkv.flac.txt', '/videos/1/38.mp4.jpg'),
  (1769, '[CLIP] Data Set, Training Data, Training Face, Sigma Square, Normal Distribution', '/videos/clips/1-7.mp4-021.mkv', 0, 1, 7, 'videos/clips-text/1-7.mp4-021.mkv.flac.txt', '/videos/1/7.mp4.jpg'),
  (1770, '[CLIP] Data Points, Decision Tree, Mxi -, - Mxi, Straight Line', '/videos/clips/1-12.mp4-010.mkv', 2, 1, 12, 'videos/clips-text/1-12.mp4-010.mkv.flac.txt', '/videos/1/12.mp4.jpg'),
  (1771, '[CLIP] Random Variable, Feature, Number, Set, Values', '/videos/clips/1-17.mp4-027.mkv', 0, 1, 17, 'videos/clips-text/1-17.mp4-027.mkv.flac.txt', '/videos/1/17.mp4.jpg'),
  (1772, '[CLIP] Function, Product, Vectors, Compute, Fire', '/videos/clips/1-36.mp4-013.mkv', 0, 1, 36, 'videos/clips-text/1-36.mp4-013.mkv.flac.txt', '/videos/1/36.mp4.jpg'),
  (1773, '[CLIP] 1 2, Del Norte, 1 -, Partial Derivative, 2 3', '/videos/clips/1-5.mp4-026.mkv', 0, 1, 5, 'videos/clips-text/1-5.mp4-026.mkv.flac.txt', '/videos/1/5.mp4.jpg'),
  (1774, '[CLIP] ', '/videos/clips/1-37.mp4-052.mkv', 0, 1, 37, 'videos/clips-text/1-37.mp4-052.mkv.flac.txt', '/videos/1/37.mp4.jpg'),
  (1775, '[CLIP] Machine Learning, Computer Science, Linear Regression, Support Vector, Artificial Intelligence', '/videos/clips/1-26.mp4-003.mkv', 2, 1, 26, 'videos/clips-text/1-26.mp4-003.mkv.flac.txt', '/videos/1/26.mp4.jpg'),
  (1776, '[CLIP] ', '/videos/clips/1-26.mp4-002.mkv', 0, 1, 26, 'videos/clips-text/1-26.mp4-002.mkv.flac.txt', '/videos/1/26.mp4.jpg'),
  (1777, '[CLIP] ', '/videos/clips/1-46.mp4-008.mkv', 0, 1, 46, 'videos/clips-text/1-46.mp4-008.mkv.flac.txt', '/videos/1/46.mp4.jpg'),
  (1778, '[CLIP] ', '/videos/clips/1-5.mp4-003.mkv', 0, 1, 5, 'videos/clips-text/1-5.mp4-003.mkv.flac.txt', '/videos/1/5.mp4.jpg'),
  (1779, '[CLIP] Person, Continuous, Car, Image, Reddit', '/videos/clips/1-22.mp4-037.mkv', 0, 1, 22, 'videos/clips-text/1-22.mp4-037.mkv.flac.txt', '/videos/1/22.mp4.jpg'),
  (1780, '[CLIP] ', '/videos/clips/1-47.mp4-048.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-048.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (1781, '[CLIP] ', '/videos/clips/1-7.mp4-013.mkv', 0, 1, 7, 'videos/clips-text/1-7.mp4-013.mkv.flac.txt', '/videos/1/7.mp4.jpg'),
  (1782, '[CLIP] Covariance Matrix, Kind, Kinds, Function, Diagonal', '/videos/clips/1-41.mp4-017.mkv', 0, 1, 41, 'videos/clips-text/1-41.mp4-017.mkv.flac.txt', '/videos/1/41.mp4.jpg'),
  (1783, '[CLIP] ', '/videos/clips/1-8.mp4-007.mkv', 0, 1, 8, 'videos/clips-text/1-8.mp4-007.mkv.flac.txt', '/videos/1/8.mp4.jpg'),
  (1784, '[CLIP] Soft, Service, Cases, Handle', '/videos/clips/1-13.mp4-022.mkv', 0, 1, 13, 'videos/clips-text/1-13.mp4-022.mkv.flac.txt', '/videos/1/13.mp4.jpg'),
  (1785, '[CLIP] ', '/videos/clips/1-42.mp4-017.mkv', 0, 1, 42, 'videos/clips-text/1-42.mp4-017.mkv.flac.txt', '/videos/1/42.mp4.jpg'),
  (1786, '[CLIP] ', '/videos/clips/1-7.mp4-026.mkv', 0, 1, 7, 'videos/clips-text/1-7.mp4-026.mkv.flac.txt', '/videos/1/7.mp4.jpg'),
  (1787, '[CLIP] ', '/videos/clips/1-29.mp4-008.mkv', 0, 1, 29, 'videos/clips-text/1-29.mp4-008.mkv.flac.txt', '/videos/1/29.mp4.jpg'),
  (1788, '[CLIP] Variables, Values, Modeling, Form, Parents', '/videos/clips/1-39.mp4-057.mkv', 0, 1, 39, 'videos/clips-text/1-39.mp4-057.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (1789, '[CLIP] Assumption, Night', '/videos/clips/1-39.mp4-042.mkv', 0, 1, 39, 'videos/clips-text/1-39.mp4-042.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (1790, '[CLIP] Blue Point, Decision Surface, Blue Points, Red Point, Penalty', '/videos/clips/1-13.mp4-008.mkv', 0, 1, 13, 'videos/clips-text/1-13.mp4-008.mkv.flac.txt', '/videos/1/13.mp4.jpg'),
  (1791, '[CLIP] Linear Function, Degree Polynomial, Blue Points, Function Corresponds, Figure', '/videos/clips/1-47.mp4-015.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-015.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (1792, '[CLIP] ', '/videos/clips/1-37.mp4-032.mkv', 0, 1, 37, 'videos/clips-text/1-37.mp4-032.mkv.flac.txt', '/videos/1/37.mp4.jpg'),
  (1793, '[CLIP] ', '/videos/clips/1-2.mp4-019.mkv', 0, 1, 2, 'videos/clips-text/1-2.mp4-019.mkv.flac.txt', '/videos/1/2.mp4.jpg'),
  (1794, '[CLIP] ', '/videos/clips/1-28.mp4-038.mkv', 0, 1, 28, 'videos/clips-text/1-28.mp4-038.mkv.flac.txt', '/videos/1/28.mp4.jpg'),
  (1795, '[CLIP] ', '/videos/clips/1-20.mp4-014.mkv', 0, 1, 20, 'videos/clips-text/1-20.mp4-014.mkv.flac.txt', '/videos/1/20.mp4.jpg'),
  (1796, '[CLIP] ', '/videos/clips/1-6.mp4-016.mkv', 0, 1, 6, 'videos/clips-text/1-6.mp4-016.mkv.flac.txt', '/videos/1/6.mp4.jpg'),
  (1797, '[CLIP] ', '/videos/clips/1-29.mp4-037.mkv', 0, 1, 29, 'videos/clips-text/1-29.mp4-037.mkv.flac.txt', '/videos/1/29.mp4.jpg'),
  (1798, '[CLIP] Convolutional Neural, Neural Network, Convolutional Layer, Layers, Baby', '/videos/clips/1-11.mp4-031.mkv', 0, 1, 11, 'videos/clips-text/1-11.mp4-031.mkv.flac.txt', '/videos/1/11.mp4.jpg'),
  (1799, '[CLIP] ', '/videos/clips/1-10.mp4-014.mkv', 0, 1, 10, 'videos/clips-text/1-10.mp4-014.mkv.flac.txt', '/videos/1/10.mp4.jpg'),
  (1800, '[CLIP] ', '/videos/clips/1-41.mp4-013.mkv', 0, 1, 41, 'videos/clips-text/1-41.mp4-013.mkv.flac.txt', '/videos/1/41.mp4.jpg'),
  (1801, '[CLIP] ', '/videos/clips/1-29.mp4-018.mkv', 0, 1, 29, 'videos/clips-text/1-29.mp4-018.mkv.flac.txt', '/videos/1/29.mp4.jpg'),
  (1802, '[CLIP] ', '/videos/clips/1-31.mp4-035.mkv', 0, 1, 31, 'videos/clips-text/1-31.mp4-035.mkv.flac.txt', '/videos/1/31.mp4.jpg'),
  (1803, '[CLIP] Output Variable, Animals, Discrete, Animal, Classification', '/videos/clips/1-22.mp4-036.mkv', 0, 1, 22, 'videos/clips-text/1-22.mp4-036.mkv.flac.txt', '/videos/1/22.mp4.jpg'),
  (1804, '[CLIP] ', '/videos/clips/1-17.mp4-018.mkv', 0, 1, 17, 'videos/clips-text/1-17.mp4-018.mkv.flac.txt', '/videos/1/17.mp4.jpg'),
  (1805, '[CLIP] ', '/videos/clips/1-14.mp4-015.mkv', 0, 1, 14, 'videos/clips-text/1-14.mp4-015.mkv.flac.txt', '/videos/1/14.mp4.jpg'),
  (1806, '[CLIP] ', '/videos/clips/1-5.mp4-025.mkv', 0, 1, 5, 'videos/clips-text/1-5.mp4-025.mkv.flac.txt', '/videos/1/5.mp4.jpg'),
  (1807, '[CLIP] Tree, Set, Test, Typically', '/videos/clips/1-1.mp4-005.mkv', 0, 1, 1, 'videos/clips-text/1-1.mp4-005.mkv.flac.txt', '/videos/1/1.mp4.jpg'),
  (1808, '[CLIP] ', '/videos/clips/1-22.mp4-001.mkv', 0, 1, 22, 'videos/clips-text/1-22.mp4-001.mkv.flac.txt', '/videos/1/22.mp4.jpg'),
  (1809, '[CLIP] Patient, Cancer, Result, Cases, Present', '/videos/clips/1-19.mp4-005.mkv', 0, 1, 19, 'videos/clips-text/1-19.mp4-005.mkv.flac.txt', '/videos/1/19.mp4.jpg'),
  (1810, '[CLIP] Centroid, Point, Single, Cluster, Centroids', '/videos/clips/1-41.mp4-008.mkv', 0, 1, 41, 'videos/clips-text/1-41.mp4-008.mkv.flac.txt', '/videos/1/41.mp4.jpg'),
  (1811, '[CLIP] ', '/videos/clips/1-33.mp4-005.mkv', 0, 1, 33, 'videos/clips-text/1-33.mp4-005.mkv.flac.txt', '/videos/1/33.mp4.jpg'),
  (1812, '[CLIP] ', '/videos/clips/1-1.mp4-043.mkv', 0, 1, 1, 'videos/clips-text/1-1.mp4-043.mkv.flac.txt', '/videos/1/1.mp4.jpg'),
  (1813, '[CLIP] P1 Transfers, Image, Principal, Dimensional, Buy', '/videos/clips/1-30.mp4-027.mkv', 0, 1, 30, 'videos/clips-text/1-30.mp4-027.mkv.flac.txt', '/videos/1/30.mp4.jpg'),
  (1814, '[CLIP] ', '/videos/clips/1-45.mp4-025.mkv', 0, 1, 45, 'videos/clips-text/1-45.mp4-025.mkv.flac.txt', '/videos/1/45.mp4.jpg'),
  (1815, '[CLIP] ', '/videos/clips/1-47.mp4-060.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-060.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (1816, '[CLIP] ', '/videos/clips/1-37.mp4-018.mkv', 0, 1, 37, 'videos/clips-text/1-37.mp4-018.mkv.flac.txt', '/videos/1/37.mp4.jpg'),
  (1817, '[CLIP] ', '/videos/clips/1-13.mp4-016.mkv', 0, 1, 13, 'videos/clips-text/1-13.mp4-016.mkv.flac.txt', '/videos/1/13.mp4.jpg'),
  (1818, '[CLIP] Group, Finite, Age', '/videos/clips/1-22.mp4-028.mkv', 0, 1, 22, 'videos/clips-text/1-22.mp4-028.mkv.flac.txt', '/videos/1/22.mp4.jpg'),
  (1819, '[CLIP] Manhattan Distance, Equal, Koski, 2, Chase', '/videos/clips/1-28.mp4-030.mkv', 0, 1, 28, 'videos/clips-text/1-28.mp4-030.mkv.flac.txt', '/videos/1/28.mp4.jpg'),
  (1820, '[CLIP] ', '/videos/clips/1-1.mp4-017.mkv', 0, 1, 1, 'videos/clips-text/1-1.mp4-017.mkv.flac.txt', '/videos/1/1.mp4.jpg');
  INSERT INTO `videos` (`id`, `title`, `url`, `view_count`, `is_clip`, `parent_id`, `description_url`, `img_url`) VALUES
  (1821, '[CLIP] ', '/videos/clips/1-21.mp4-015.mkv', 0, 1, 21, 'videos/clips-text/1-21.mp4-015.mkv.flac.txt', '/videos/1/21.mp4.jpg'),
  (1822, '[CLIP] Clusters, Linkage, Called, Closest', '/videos/clips/1-20.mp4-021.mkv', 0, 1, 20, 'videos/clips-text/1-20.mp4-021.mkv.flac.txt', '/videos/1/20.mp4.jpg'),
  (1823, '[CLIP] Fit, Bias, Lack, Data, Learning', '/videos/clips/1-17.mp4-031.mkv', 0, 1, 17, 'videos/clips-text/1-17.mp4-031.mkv.flac.txt', '/videos/1/17.mp4.jpg'),
  (1824, '[CLIP] ', '/videos/clips/1-11.mp4-007.mkv', 0, 1, 11, 'videos/clips-text/1-11.mp4-007.mkv.flac.txt', '/videos/1/11.mp4.jpg'),
  (1825, '[CLIP] ', '/videos/clips/1-3.mp4-005.mkv', 0, 1, 3, 'videos/clips-text/1-3.mp4-005.mkv.flac.txt', '/videos/1/3.mp4.jpg'),
  (1826, '[CLIP] Probability Distribution, Training Instances, Correctly, Labels, Instance', '/videos/clips/1-3.mp4-015.mkv', 0, 1, 3, 'videos/clips-text/1-3.mp4-015.mkv.flac.txt', '/videos/1/3.mp4.jpg'),
  (1827, '[CLIP] ', '/videos/clips/1-41.mp4-034.mkv', 0, 1, 41, 'videos/clips-text/1-41.mp4-034.mkv.flac.txt', '/videos/1/41.mp4.jpg'),
  (1828, '[CLIP] ', '/videos/clips/1-31.mp4-019.mkv', 0, 1, 31, 'videos/clips-text/1-31.mp4-019.mkv.flac.txt', '/videos/1/31.mp4.jpg'),
  (1829, '[CLIP] Alpha Beta, Sigma Alpha, Optimization Problem, Saddle Point, Primal Problem', '/videos/clips/1-25.mp4-007.mkv', 0, 1, 25, 'videos/clips-text/1-25.mp4-007.mkv.flac.txt', '/videos/1/25.mp4.jpg'),
  (1830, '[CLIP] Feature Selection, 1000 Features, Feature Reduction, Training Data, Legitimate Estimation', '/videos/clips/1-46.mp4-010.mkv', 0, 1, 46, 'videos/clips-text/1-46.mp4-010.mkv.flac.txt', '/videos/1/46.mp4.jpg'),
  (1831, '[CLIP] 1, Points, Distance', '/videos/clips/1-20.mp4-005.mkv', 0, 1, 20, 'videos/clips-text/1-20.mp4-005.mkv.flac.txt', '/videos/1/20.mp4.jpg'),
  (1832, '[CLIP] ', '/videos/clips/1-30.mp4-019.mkv', 0, 1, 30, 'videos/clips-text/1-30.mp4-019.mkv.flac.txt', '/videos/1/30.mp4.jpg'),
  (1833, '[CLIP] Rainfall Tomorrow, Heavy Rainfall, Abnormally Heavy, Question, Problem', '/videos/clips/1-17.mp4-007.mkv', 0, 1, 17, 'videos/clips-text/1-17.mp4-007.mkv.flac.txt', '/videos/1/17.mp4.jpg'),
  (1834, '[CLIP] ', '/videos/clips/1-47.mp4-066.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-066.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (1835, '[CLIP] Maximum Variance, Occam Razor, Maximum Number, Question, Parameters', '/videos/clips/1-17.mp4-037.mkv', 1, 1, 17, 'videos/clips-text/1-17.mp4-037.mkv.flac.txt', '/videos/1/17.mp4.jpg'),
  (1836, '[CLIP] ', '/videos/clips/1-29.mp4-059.mkv', 0, 1, 29, 'videos/clips-text/1-29.mp4-059.mkv.flac.txt', '/videos/1/29.mp4.jpg'),
  (1837, '[CLIP] ', '/videos/clips/1-20.mp4-037.mkv', 0, 1, 20, 'videos/clips-text/1-20.mp4-037.mkv.flac.txt', '/videos/1/20.mp4.jpg'),
  (1838, '[CLIP] Maximum Depth, Piecewise Linear, Decision Tree, Maximum Death, Training Validation', '/videos/clips/1-45.mp4-034.mkv', 0, 1, 45, 'videos/clips-text/1-45.mp4-034.mkv.flac.txt', '/videos/1/45.mp4.jpg'),
  (1839, '[CLIP] ', '/videos/clips/1-10.mp4-030.mkv', 0, 1, 10, 'videos/clips-text/1-10.mp4-030.mkv.flac.txt', '/videos/1/10.mp4.jpg'),
  (1840, '[CLIP] ', '/videos/clips/1-20.mp4-027.mkv', 0, 1, 20, 'videos/clips-text/1-20.mp4-027.mkv.flac.txt', '/videos/1/20.mp4.jpg'),
  (1841, '[CLIP] ', '/videos/clips/1-32.mp4-013.mkv', 0, 1, 32, 'videos/clips-text/1-32.mp4-013.mkv.flac.txt', '/videos/1/32.mp4.jpg'),
  (1842, '[CLIP] ', '/videos/clips/1-29.mp4-016.mkv', 0, 1, 29, 'videos/clips-text/1-29.mp4-016.mkv.flac.txt', '/videos/1/29.mp4.jpg'),
  (1843, '[CLIP] Decision Tree, Noise Point, Supposed', '/videos/clips/1-1.mp4-012.mkv', 0, 1, 1, 'videos/clips-text/1-1.mp4-012.mkv.flac.txt', '/videos/1/1.mp4.jpg'),
  (1844, '[CLIP] Training, Points, Betta, Excite', '/videos/clips/1-47.mp4-034.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-034.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (1845, '[CLIP] ', '/videos/clips/1-6.mp4-014.mkv', 0, 1, 6, 'videos/clips-text/1-6.mp4-014.mkv.flac.txt', '/videos/1/6.mp4.jpg'),
  (1846, '[CLIP] Reduced, Time, Capacity, Accuracy, Faster', '/videos/clips/1-27.mp4-030.mkv', 0, 1, 27, 'videos/clips-text/1-27.mp4-030.mkv.flac.txt', '/videos/1/27.mp4.jpg'),
  (1847, '[CLIP] ', '/videos/clips/1-39.mp4-030.mkv', 0, 1, 39, 'videos/clips-text/1-39.mp4-030.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (1848, '[CLIP] ', '/videos/clips/1-27.mp4-035.mkv', 0, 1, 27, 'videos/clips-text/1-27.mp4-035.mkv.flac.txt', '/videos/1/27.mp4.jpg'),
  (1849, '[CLIP] ', '/videos/clips/1-10.mp4-004.mkv', 0, 1, 10, 'videos/clips-text/1-10.mp4-004.mkv.flac.txt', '/videos/1/10.mp4.jpg'),
  (1850, '[CLIP] ', '/videos/clips/1-21.mp4-001.mkv', 0, 1, 21, 'videos/clips-text/1-21.mp4-001.mkv.flac.txt', '/videos/1/21.mp4.jpg'),
  (1851, '[CLIP] ', '/videos/clips/1-36.mp4-020.mkv', 0, 1, 36, 'videos/clips-text/1-36.mp4-020.mkv.flac.txt', '/videos/1/36.mp4.jpg'),
  (1852, '[CLIP] ', '/videos/clips/1-21.mp4-009.mkv', 0, 1, 21, 'videos/clips-text/1-21.mp4-009.mkv.flac.txt', '/videos/1/21.mp4.jpg'),
  (1853, '[CLIP] Features, Selection, Feature, Start, Correlated', '/videos/clips/1-6.mp4-015.mkv', 0, 1, 6, 'videos/clips-text/1-6.mp4-015.mkv.flac.txt', '/videos/1/6.mp4.jpg'),
  (1854, '[CLIP] ', '/videos/clips/1-3.mp4-006.mkv', 0, 1, 3, 'videos/clips-text/1-3.mp4-006.mkv.flac.txt', '/videos/1/3.mp4.jpg'),
  (1855, '[CLIP] ', '/videos/clips/1-38.mp4-030.mkv', 0, 1, 38, 'videos/clips-text/1-38.mp4-030.mkv.flac.txt', '/videos/1/38.mp4.jpg'),
  (1856, '[CLIP] ', '/videos/clips/1-39.mp4-043.mkv', 0, 1, 39, 'videos/clips-text/1-39.mp4-043.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (1857, '[CLIP] ', '/videos/clips/1-2.mp4-012.mkv', 0, 1, 2, 'videos/clips-text/1-2.mp4-012.mkv.flac.txt', '/videos/1/2.mp4.jpg'),
  (1858, '[CLIP] ', '/videos/clips/1-29.mp4-017.mkv', 0, 1, 29, 'videos/clips-text/1-29.mp4-017.mkv.flac.txt', '/videos/1/29.mp4.jpg'),
  (1859, '[CLIP] Section, Parametres, Bias, Model', '/videos/clips/1-17.mp4-029.mkv', 0, 1, 17, 'videos/clips-text/1-17.mp4-029.mkv.flac.txt', '/videos/1/17.mp4.jpg'),
  (1860, '[CLIP] ', '/videos/clips/1-28.mp4-011.mkv', 0, 1, 28, 'videos/clips-text/1-28.mp4-011.mkv.flac.txt', '/videos/1/28.mp4.jpg'),
  (1861, '[CLIP] ', '/videos/clips/1-40.mp4-053.mkv', 0, 1, 40, 'videos/clips-text/1-40.mp4-053.mkv.flac.txt', '/videos/1/40.mp4.jpg'),
  (1862, '[CLIP] ', '/videos/clips/1-47.mp4-009.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-009.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (1863, '[CLIP] ', '/videos/clips/1-2.mp4-039.mkv', 0, 1, 2, 'videos/clips-text/1-2.mp4-039.mkv.flac.txt', '/videos/1/2.mp4.jpg'),
  (1864, '[CLIP] ', '/videos/clips/1-31.mp4-022.mkv', 0, 1, 31, 'videos/clips-text/1-31.mp4-022.mkv.flac.txt', '/videos/1/31.mp4.jpg'),
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  (1959, '[CLIP] Likelihood Estimate, Maximum Likelihood, Model Parameters, Assignment', '/videos/clips/1-2.mp4-045.mkv', 0, 1, 2, 'videos/clips-text/1-2.mp4-045.mkv.flac.txt', '/videos/1/2.mp4.jpg'),
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  (1961, '[CLIP] Correct Classifications, Test Data, Cross Validation, Total Number, Vm Svc', '/videos/clips/1-35.mp4-008.mkv', 0, 1, 35, 'videos/clips-text/1-35.mp4-008.mkv.flac.txt', '/videos/1/35.mp4.jpg'),
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  (1966, '[CLIP] Training Examples, Training Set, Testing Phase, Features, Input', '/videos/clips/1-34.mp4-042.mkv', 0, 1, 34, 'videos/clips-text/1-34.mp4-042.mkv.flac.txt', '/videos/1/34.mp4.jpg'),
  (1967, '[CLIP] ', '/videos/clips/1-16.mp4-008.mkv', 0, 1, 16, 'videos/clips-text/1-16.mp4-008.mkv.flac.txt', '/videos/1/16.mp4.jpg'),
  (1968, '[CLIP] ', '/videos/clips/1-11.mp4-004.mkv', 0, 1, 11, 'videos/clips-text/1-11.mp4-004.mkv.flac.txt', '/videos/1/11.mp4.jpg'),
  (1969, '[CLIP] ', '/videos/clips/1-5.mp4-023.mkv', 0, 1, 5, 'videos/clips-text/1-5.mp4-023.mkv.flac.txt', '/videos/1/5.mp4.jpg'),
  (1970, '[CLIP] ', '/videos/clips/1-47.mp4-040.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-040.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (1971, '[CLIP] ', '/videos/clips/1-47.mp4-062.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-062.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (1972, '[CLIP] ', '/videos/clips/1-37.mp4-054.mkv', 0, 1, 37, 'videos/clips-text/1-37.mp4-054.mkv.flac.txt', '/videos/1/37.mp4.jpg'),
  (1973, '[CLIP] ', '/videos/clips/1-27.mp4-005.mkv', 0, 1, 27, 'videos/clips-text/1-27.mp4-005.mkv.flac.txt', '/videos/1/27.mp4.jpg'),
  (1974, '[CLIP] ', '/videos/clips/1-34.mp4-039.mkv', 0, 1, 34, 'videos/clips-text/1-34.mp4-039.mkv.flac.txt', '/videos/1/34.mp4.jpg'),
  (1975, '[CLIP] ', '/videos/clips/1-10.mp4-002.mkv', 0, 1, 10, 'videos/clips-text/1-10.mp4-002.mkv.flac.txt', '/videos/1/10.mp4.jpg'),
  (1976, '[CLIP] Based, Air, Change, Computer, Energy', '/videos/clips/1-5.mp4-020.mkv', 0, 1, 5, 'videos/clips-text/1-5.mp4-020.mkv.flac.txt', '/videos/1/5.mp4.jpg'),
  (1977, '[CLIP] ', '/videos/clips/1-27.mp4-025.mkv', 0, 1, 27, 'videos/clips-text/1-27.mp4-025.mkv.flac.txt', '/videos/1/27.mp4.jpg'),
  (1978, '[CLIP] ', '/videos/clips/1-23.mp4-028.mkv', 0, 1, 23, 'videos/clips-text/1-23.mp4-028.mkv.flac.txt', '/videos/1/23.mp4.jpg'),
  (1979, '[CLIP] Online -commerce, Profile Information, Website, Activities, Kind', '/videos/clips/1-17.mp4-026.mkv', 0, 1, 17, 'videos/clips-text/1-17.mp4-026.mkv.flac.txt', '/videos/1/17.mp4.jpg'),
  (1980, '[CLIP] ', '/videos/clips/1-36.mp4-024.mkv', 0, 1, 36, 'videos/clips-text/1-36.mp4-024.mkv.flac.txt', '/videos/1/36.mp4.jpg'),
  (1981, '[CLIP] Identify Clusters, Faster', '/videos/clips/1-22.mp4-019.mkv', 0, 1, 22, 'videos/clips-text/1-22.mp4-019.mkv.flac.txt', '/videos/1/22.mp4.jpg'),
  (1982, '[CLIP] ', '/videos/clips/1-34.mp4-006.mkv', 0, 1, 34, 'videos/clips-text/1-34.mp4-006.mkv.flac.txt', '/videos/1/34.mp4.jpg'),
  (1983, '[CLIP] ', '/videos/clips/1-47.mp4-053.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-053.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (1984, '[CLIP] ', '/videos/clips/1-12.mp4-008.mkv', 0, 1, 12, 'videos/clips-text/1-12.mp4-008.mkv.flac.txt', '/videos/1/12.mp4.jpg'),
  (1985, '[CLIP] 2, Hierarchical', '/videos/clips/1-21.mp4-010.mkv', 0, 1, 21, 'videos/clips-text/1-21.mp4-010.mkv.flac.txt', '/videos/1/21.mp4.jpg'),
  (1986, '[CLIP] ', '/videos/clips/1-45.mp4-011.mkv', 0, 1, 45, 'videos/clips-text/1-45.mp4-011.mkv.flac.txt', '/videos/1/45.mp4.jpg'),
  (1987, '[CLIP] ', '/videos/clips/1-30.mp4-031.mkv', 0, 1, 30, 'videos/clips-text/1-30.mp4-031.mkv.flac.txt', '/videos/1/30.mp4.jpg'),
  (1988, '[CLIP] Cluster Centers, Center Center, Ground Truth, Class, Classes', '/videos/clips/1-41.mp4-011.mkv', 0, 1, 41, 'videos/clips-text/1-41.mp4-011.mkv.flac.txt', '/videos/1/41.mp4.jpg'),
  (1989, '[CLIP] ', '/videos/clips/1-22.mp4-038.mkv', 0, 1, 22, 'videos/clips-text/1-22.mp4-038.mkv.flac.txt', '/videos/1/22.mp4.jpg'),
  (1990, '[CLIP] ', '/videos/clips/1-39.mp4-039.mkv', 0, 1, 39, 'videos/clips-text/1-39.mp4-039.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (1991, '[CLIP] ', '/videos/clips/1-37.mp4-051.mkv', 0, 1, 37, 'videos/clips-text/1-37.mp4-051.mkv.flac.txt', '/videos/1/37.mp4.jpg'),
  (1992, '[CLIP] ', '/videos/clips/1-27.mp4-042.mkv', 0, 1, 27, 'videos/clips-text/1-27.mp4-042.mkv.flac.txt', '/videos/1/27.mp4.jpg'),
  (1993, '[CLIP] ', '/videos/clips/1-32.mp4-001.mkv', 0, 1, 32, 'videos/clips-text/1-32.mp4-001.mkv.flac.txt', '/videos/1/32.mp4.jpg'),
  (1994, '[CLIP] ', '/videos/clips/1-2.mp4-002.mkv', 0, 1, 2, 'videos/clips-text/1-2.mp4-002.mkv.flac.txt', '/videos/1/2.mp4.jpg'),
  (1995, '[CLIP] ', '/videos/clips/1-14.mp4-030.mkv', 0, 1, 14, 'videos/clips-text/1-14.mp4-030.mkv.flac.txt', '/videos/1/14.mp4.jpg'),
  (1996, '[CLIP] ', '/videos/clips/1-17.mp4-017.mkv', 0, 1, 17, 'videos/clips-text/1-17.mp4-017.mkv.flac.txt', '/videos/1/17.mp4.jpg'),
  (1997, '[CLIP] ', '/videos/clips/1-42.mp4-013.mkv', 0, 1, 42, 'videos/clips-text/1-42.mp4-013.mkv.flac.txt', '/videos/1/42.mp4.jpg'),
  (1998, '[CLIP] ', '/videos/clips/1-1.mp4-014.mkv', 0, 1, 1, 'videos/clips-text/1-1.mp4-014.mkv.flac.txt', '/videos/1/1.mp4.jpg'),
  (1999, '[CLIP] ', '/videos/clips/1-23.mp4-009.mkv', 0, 1, 23, 'videos/clips-text/1-23.mp4-009.mkv.flac.txt', '/videos/1/23.mp4.jpg'),
  (2000, '[CLIP] ', '/videos/clips/1-41.mp4-031.mkv', 0, 1, 41, 'videos/clips-text/1-41.mp4-031.mkv.flac.txt', '/videos/1/41.mp4.jpg'),
  (2001, '[CLIP] Weighted Average, Probability, Find, Rate, Points', '/videos/clips/1-2.mp4-047.mkv', 0, 1, 2, 'videos/clips-text/1-2.mp4-047.mkv.flac.txt', '/videos/1/2.mp4.jpg'),
  (2002, '[CLIP] ', '/videos/clips/1-32.mp4-003.mkv', 0, 1, 32, 'videos/clips-text/1-32.mp4-003.mkv.flac.txt', '/videos/1/32.mp4.jpg'),
  (2003, '[CLIP] ', '/videos/clips/1-20.mp4-018.mkv', 0, 1, 20, 'videos/clips-text/1-20.mp4-018.mkv.flac.txt', '/videos/1/20.mp4.jpg'),
  (2004, '[CLIP] ', '/videos/clips/1-31.mp4-018.mkv', 0, 1, 31, 'videos/clips-text/1-31.mp4-018.mkv.flac.txt', '/videos/1/31.mp4.jpg'),
  (2005, '[CLIP] ', '/videos/clips/1-4.mp4-034.mkv', 0, 1, 4, 'videos/clips-text/1-4.mp4-034.mkv.flac.txt', '/videos/1/4.mp4.jpg'),
  (2006, '[CLIP] ', '/videos/clips/1-38.mp4-054.mkv', 0, 1, 38, 'videos/clips-text/1-38.mp4-054.mkv.flac.txt', '/videos/1/38.mp4.jpg'),
  (2007, '[CLIP] ', '/videos/clips/1-11.mp4-046.mkv', 0, 1, 11, 'videos/clips-text/1-11.mp4-046.mkv.flac.txt', '/videos/1/11.mp4.jpg'),
  (2008, '[CLIP] Instances Belong, Pre Pruning, Class, Stop, Note', '/videos/clips/1-1.mp4-023.mkv', 0, 1, 1, 'videos/clips-text/1-1.mp4-023.mkv.flac.txt', '/videos/1/1.mp4.jpg'),
  (2009, '[CLIP] ', '/videos/clips/1-7.mp4-002.mkv', 0, 1, 7, 'videos/clips-text/1-7.mp4-002.mkv.flac.txt', '/videos/1/7.mp4.jpg'),
  (2010, '[CLIP] ', '/videos/clips/1-40.mp4-041.mkv', 0, 1, 40, 'videos/clips-text/1-40.mp4-041.mkv.flac.txt', '/videos/1/40.mp4.jpg'),
  (2011, '[CLIP] ', '/videos/clips/1-47.mp4-059.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-059.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (2012, '[CLIP] ', '/videos/clips/1-5.mp4-001.mkv', 0, 1, 5, 'videos/clips-text/1-5.mp4-001.mkv.flac.txt', '/videos/1/5.mp4.jpg'),
  (2013, '[CLIP] ', '/videos/clips/1-22.mp4-040.mkv', 0, 1, 22, 'videos/clips-text/1-22.mp4-040.mkv.flac.txt', '/videos/1/22.mp4.jpg'),
  (2014, '[CLIP] ', '/videos/clips/1-39.mp4-032.mkv', 0, 1, 39, 'videos/clips-text/1-39.mp4-032.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (2015, '[CLIP] ', '/videos/clips/1-38.mp4-038.mkv', 0, 1, 38, 'videos/clips-text/1-38.mp4-038.mkv.flac.txt', '/videos/1/38.mp4.jpg'),
  (2016, '[CLIP] ', '/videos/clips/1-45.mp4-007.mkv', 0, 1, 45, 'videos/clips-text/1-45.mp4-007.mkv.flac.txt', '/videos/1/45.mp4.jpg'),
  (2017, '[CLIP] Point, Access, Axis, Larger', '/videos/clips/1-9.mp4-009.mkv', 0, 1, 9, 'videos/clips-text/1-9.mp4-009.mkv.flac.txt', '/videos/1/9.mp4.jpg'),
  (2018, '[CLIP] ', '/videos/clips/1-43.mp4-017.mkv', 0, 1, 43, 'videos/clips-text/1-43.mp4-017.mkv.flac.txt', '/videos/1/43.mp4.jpg'),
  (2019, '[CLIP] ', '/videos/clips/1-15.mp4-013.mkv', 0, 1, 15, 'videos/clips-text/1-15.mp4-013.mkv.flac.txt', '/videos/1/15.mp4.jpg'),
  (2020, '[CLIP] Hypothesis, Space, X2, Infinite, X1', '/videos/clips/1-15.mp4-011.mkv', 0, 1, 15, 'videos/clips-text/1-15.mp4-011.mkv.flac.txt', '/videos/1/15.mp4.jpg'),
  (2021, '[CLIP] ', '/videos/clips/1-30.mp4-004.mkv', 0, 1, 30, 'videos/clips-text/1-30.mp4-004.mkv.flac.txt', '/videos/1/30.mp4.jpg'),
  (2022, '[CLIP] ', '/videos/clips/1-32.mp4-015.mkv', 0, 1, 32, 'videos/clips-text/1-32.mp4-015.mkv.flac.txt', '/videos/1/32.mp4.jpg'),
  (2023, '[CLIP] ', '/videos/clips/1-37.mp4-020.mkv', 0, 1, 37, 'videos/clips-text/1-37.mp4-020.mkv.flac.txt', '/videos/1/37.mp4.jpg'),
  (2024, '[CLIP] Validation Set, Training', '/videos/clips/1-1.mp4-028.mkv', 0, 1, 1, 'videos/clips-text/1-1.mp4-028.mkv.flac.txt', '/videos/1/1.mp4.jpg'),
  (2025, '[CLIP] ', '/videos/clips/1-1.mp4-009.mkv', 0, 1, 1, 'videos/clips-text/1-1.mp4-009.mkv.flac.txt', '/videos/1/1.mp4.jpg'),
  (2026, '[CLIP] ', '/videos/clips/1-42.mp4-018.mkv', 0, 1, 42, 'videos/clips-text/1-42.mp4-018.mkv.flac.txt', '/videos/1/42.mp4.jpg'),
  (2027, '[CLIP] Training Site, Test, Set, Small, Examples', '/videos/clips/1-32.mp4-014.mkv', 0, 1, 32, 'videos/clips-text/1-32.mp4-014.mkv.flac.txt', '/videos/1/32.mp4.jpg'),
  (2028, '[CLIP] ', '/videos/clips/1-40.mp4-043.mkv', 0, 1, 40, 'videos/clips-text/1-40.mp4-043.mkv.flac.txt', '/videos/1/40.mp4.jpg'),
  (2029, '[CLIP] ', '/videos/clips/1-4.mp4-015.mkv', 0, 1, 4, 'videos/clips-text/1-4.mp4-015.mkv.flac.txt', '/videos/1/4.mp4.jpg'),
  (2030, '[CLIP] ', '/videos/clips/1-34.mp4-004.mkv', 0, 1, 34, 'videos/clips-text/1-34.mp4-004.mkv.flac.txt', '/videos/1/34.mp4.jpg'),
  (2031, '[CLIP] ', '/videos/clips/1-16.mp4-012.mkv', 0, 1, 16, 'videos/clips-text/1-16.mp4-012.mkv.flac.txt', '/videos/1/16.mp4.jpg'),
  (2032, '[CLIP] Kind, Time, Function, Clusters, String', '/videos/clips/1-41.mp4-042.mkv', 0, 1, 41, 'videos/clips-text/1-41.mp4-042.mkv.flac.txt', '/videos/1/41.mp4.jpg'),
  (2033, '[CLIP] ', '/videos/clips/1-5.mp4-015.mkv', 0, 1, 5, 'videos/clips-text/1-5.mp4-015.mkv.flac.txt', '/videos/1/5.mp4.jpg'),
  (2034, '[CLIP] Degree Polynomial', '/videos/clips/1-1.mp4-055.mkv', 0, 1, 1, 'videos/clips-text/1-1.mp4-055.mkv.flac.txt', '/videos/1/1.mp4.jpg'),
  (2035, '[CLIP] ', '/videos/clips/1-34.mp4-007.mkv', 0, 1, 34, 'videos/clips-text/1-34.mp4-007.mkv.flac.txt', '/videos/1/34.mp4.jpg'),
  (2036, '[CLIP] ', '/videos/clips/1-15.mp4-016.mkv', 0, 1, 15, 'videos/clips-text/1-15.mp4-016.mkv.flac.txt', '/videos/1/15.mp4.jpg'),
  (2037, '[CLIP] ', '/videos/clips/1-29.mp4-049.mkv', 0, 1, 29, 'videos/clips-text/1-29.mp4-049.mkv.flac.txt', '/videos/1/29.mp4.jpg'),
  (2038, '[CLIP] Alpha, Equal, Formulation, Sigma, 0', '/videos/clips/1-13.mp4-015.mkv', 0, 1, 13, 'videos/clips-text/1-13.mp4-015.mkv.flac.txt', '/videos/1/13.mp4.jpg'),
  (2039, '[CLIP] ', '/videos/clips/1-40.mp4-004.mkv', 0, 1, 40, 'videos/clips-text/1-40.mp4-004.mkv.flac.txt', '/videos/1/40.mp4.jpg'),
  (2040, '[CLIP] ', '/videos/clips/1-4.mp4-026.mkv', 0, 1, 4, 'videos/clips-text/1-4.mp4-026.mkv.flac.txt', '/videos/1/4.mp4.jpg'),
  (2041, '[CLIP] ', '/videos/clips/1-33.mp4-001.mkv', 0, 1, 33, 'videos/clips-text/1-33.mp4-001.mkv.flac.txt', '/videos/1/33.mp4.jpg'),
  (2042, '[CLIP] ', '/videos/clips/1-8.mp4-005.mkv', 0, 1, 8, 'videos/clips-text/1-8.mp4-005.mkv.flac.txt', '/videos/1/8.mp4.jpg'),
  (2043, '[CLIP] Class, Belongs, Entropy', '/videos/clips/1-12.mp4-012.mkv', 0, 1, 12, 'videos/clips-text/1-12.mp4-012.mkv.flac.txt', '/videos/1/12.mp4.jpg'),
  (2044, '[CLIP] ', '/videos/clips/1-41.mp4-015.mkv', 0, 1, 41, 'videos/clips-text/1-41.mp4-015.mkv.flac.txt', '/videos/1/41.mp4.jpg'),
  (2045, '[CLIP] ', '/videos/clips/1-34.mp4-019.mkv', 0, 1, 34, 'videos/clips-text/1-34.mp4-019.mkv.flac.txt', '/videos/1/34.mp4.jpg'),
  (2046, '[CLIP] Learn, Fix, Layer, Player', '/videos/clips/1-11.mp4-019.mkv', 0, 1, 11, 'videos/clips-text/1-11.mp4-019.mkv.flac.txt', '/videos/1/11.mp4.jpg'),
  (2047, '[CLIP] ', '/videos/clips/1-11.mp4-033.mkv', 0, 1, 11, 'videos/clips-text/1-11.mp4-033.mkv.flac.txt', '/videos/1/11.mp4.jpg'),
  (2048, '[CLIP] ', '/videos/clips/1-11.mp4-047.mkv', 0, 1, 11, 'videos/clips-text/1-11.mp4-047.mkv.flac.txt', '/videos/1/11.mp4.jpg'),
  (2049, '[CLIP] ', '/videos/clips/1-11.mp4-020.mkv', 0, 1, 11, 'videos/clips-text/1-11.mp4-020.mkv.flac.txt', '/videos/1/11.mp4.jpg'),
  (2050, '[CLIP] ', '/videos/clips/1-16.mp4-032.mkv', 0, 1, 16, 'videos/clips-text/1-16.mp4-032.mkv.flac.txt', '/videos/1/16.mp4.jpg'),
  (2051, '[CLIP] ', '/videos/clips/1-22.mp4-002.mkv', 0, 1, 22, 'videos/clips-text/1-22.mp4-002.mkv.flac.txt', '/videos/1/22.mp4.jpg'),
  (2052, '[CLIP] ', '/videos/clips/1-15.mp4-012.mkv', 0, 1, 15, 'videos/clips-text/1-15.mp4-012.mkv.flac.txt', '/videos/1/15.mp4.jpg'),
  (2053, '[CLIP] ', '/videos/clips/1-5.mp4-009.mkv', 0, 1, 5, 'videos/clips-text/1-5.mp4-009.mkv.flac.txt', '/videos/1/5.mp4.jpg'),
  (2054, '[CLIP] ', '/videos/clips/1-9.mp4-001.mkv', 0, 1, 9, 'videos/clips-text/1-9.mp4-001.mkv.flac.txt', '/videos/1/9.mp4.jpg'),
  (2055, '[CLIP] Hypothesis, Aaron, Age, Close, Equal', '/videos/clips/1-40.mp4-036.mkv', 0, 1, 40, 'videos/clips-text/1-40.mp4-036.mkv.flac.txt', '/videos/1/40.mp4.jpg'),
  (2056, '[CLIP] ', '/videos/clips/1-3.mp4-021.mkv', 0, 1, 3, 'videos/clips-text/1-3.mp4-021.mkv.flac.txt', '/videos/1/3.mp4.jpg'),
  (2057, '[CLIP] ', '/videos/clips/1-20.mp4-017.mkv', 0, 1, 20, 'videos/clips-text/1-20.mp4-017.mkv.flac.txt', '/videos/1/20.mp4.jpg'),
  (2058, '[CLIP] Trivial Function, Input, H1, Set, Fixed', '/videos/clips/1-11.mp4-024.mkv', 0, 1, 11, 'videos/clips-text/1-11.mp4-024.mkv.flac.txt', '/videos/1/11.mp4.jpg'),
  (2059, '[CLIP] ', '/videos/clips/1-44.mp4-004.mkv', 0, 1, 44, 'videos/clips-text/1-44.mp4-004.mkv.flac.txt', '/videos/1/44.mp4.jpg'),
  (2060, '[CLIP] Training Point, Support Vector, Vector Machine, Equal, Maximized', '/videos/clips/1-13.mp4-004.mkv', 0, 1, 13, 'videos/clips-text/1-13.mp4-004.mkv.flac.txt', '/videos/1/13.mp4.jpg'),
  (2061, '[CLIP] ', '/videos/clips/1-32.mp4-016.mkv', 0, 1, 32, 'videos/clips-text/1-32.mp4-016.mkv.flac.txt', '/videos/1/32.mp4.jpg'),
  (2062, '[CLIP] ', '/videos/clips/1-23.mp4-005.mkv', 0, 1, 23, 'videos/clips-text/1-23.mp4-005.mkv.flac.txt', '/videos/1/23.mp4.jpg'),
  (2063, '[CLIP] ', '/videos/clips/1-1.mp4-044.mkv', 0, 1, 1, 'videos/clips-text/1-1.mp4-044.mkv.flac.txt', '/videos/1/1.mp4.jpg'),
  (2064, '[CLIP] ', '/videos/clips/1-3.mp4-025.mkv', 0, 1, 3, 'videos/clips-text/1-3.mp4-025.mkv.flac.txt', '/videos/1/3.mp4.jpg'),
  (2065, '[CLIP] ', '/videos/clips/1-40.mp4-015.mkv', 0, 1, 40, 'videos/clips-text/1-40.mp4-015.mkv.flac.txt', '/videos/1/40.mp4.jpg'),
  (2066, '[CLIP] Important Attributes, Nearest Neighbor, Similar, Features, Large', '/videos/clips/1-31.mp4-027.mkv', 1, 1, 31, 'videos/clips-text/1-31.mp4-027.mkv.flac.txt', '/videos/1/31.mp4.jpg'),
  (2067, '[CLIP] ', '/videos/clips/1-23.mp4-002.mkv', 0, 1, 23, 'videos/clips-text/1-23.mp4-002.mkv.flac.txt', '/videos/1/23.mp4.jpg'),
  (2068, '[CLIP] ', '/videos/clips/1-29.mp4-052.mkv', 0, 1, 29, 'videos/clips-text/1-29.mp4-052.mkv.flac.txt', '/videos/1/29.mp4.jpg'),
  (2069, '[CLIP] ', '/videos/clips/1-30.mp4-028.mkv', 0, 1, 30, 'videos/clips-text/1-30.mp4-028.mkv.flac.txt', '/videos/1/30.mp4.jpg'),
  (2070, '[CLIP] ', '/videos/clips/1-46.mp4-005.mkv', 0, 1, 46, 'videos/clips-text/1-46.mp4-005.mkv.flac.txt', '/videos/1/46.mp4.jpg'),
  (2071, '[CLIP] Beetle Beetle, Independent Variables, Population Line, Equation, Function', '/videos/clips/1-47.mp4-030.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-030.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (2072, '[CLIP] ', '/videos/clips/1-10.mp4-001.mkv', 0, 1, 10, 'videos/clips-text/1-10.mp4-001.mkv.flac.txt', '/videos/1/10.mp4.jpg'),
  (2073, '[CLIP] ', '/videos/clips/1-16.mp4-028.mkv', 0, 1, 16, 'videos/clips-text/1-16.mp4-028.mkv.flac.txt', '/videos/1/16.mp4.jpg'),
  (2074, '[CLIP] ', '/videos/clips/1-19.mp4-003.mkv', 0, 1, 19, 'videos/clips-text/1-19.mp4-003.mkv.flac.txt', '/videos/1/19.mp4.jpg'),
  (2075, '[CLIP] ', '/videos/clips/1-2.mp4-024.mkv', 0, 1, 2, 'videos/clips-text/1-2.mp4-024.mkv.flac.txt', '/videos/1/2.mp4.jpg'),
  (2076, '[CLIP] ', '/videos/clips/1-4.mp4-009.mkv', 0, 1, 4, 'videos/clips-text/1-4.mp4-009.mkv.flac.txt', '/videos/1/4.mp4.jpg'),
  (2077, '[CLIP] ', '/videos/clips/1-34.mp4-008.mkv', 0, 1, 34, 'videos/clips-text/1-34.mp4-008.mkv.flac.txt', '/videos/1/34.mp4.jpg'),
  (2078, '[CLIP] ', '/videos/clips/1-44.mp4-006.mkv', 0, 1, 44, 'videos/clips-text/1-44.mp4-006.mkv.flac.txt', '/videos/1/44.mp4.jpg'),
  (2079, '[CLIP] ', '/videos/clips/1-28.mp4-043.mkv', 0, 1, 28, 'videos/clips-text/1-28.mp4-043.mkv.flac.txt', '/videos/1/28.mp4.jpg'),
  (2080, '[CLIP] ', '/videos/clips/1-1.mp4-020.mkv', 0, 1, 1, 'videos/clips-text/1-1.mp4-020.mkv.flac.txt', '/videos/1/1.mp4.jpg'),
  (2081, '[CLIP] ', '/videos/clips/1-35.mp4-014.mkv', 0, 1, 35, 'videos/clips-text/1-35.mp4-014.mkv.flac.txt', '/videos/1/35.mp4.jpg'),
  (2082, '[CLIP] ', '/videos/clips/1-21.mp4-020.mkv', 0, 1, 21, 'videos/clips-text/1-21.mp4-020.mkv.flac.txt', '/videos/1/21.mp4.jpg'),
  (2083, '[CLIP] ', '/videos/clips/1-5.mp4-018.mkv', 0, 1, 5, 'videos/clips-text/1-5.mp4-018.mkv.flac.txt', '/videos/1/5.mp4.jpg'),
  (2084, '[CLIP] High Variance, Training Sets, Random Samples, Training Set, Training Site', '/videos/clips/1-3.mp4-011.mkv', 0, 1, 3, 'videos/clips-text/1-3.mp4-011.mkv.flac.txt', '/videos/1/3.mp4.jpg'),
  (2085, '[CLIP] Sample Error, Age, Find, Distribution, Labeling', '/videos/clips/1-40.mp4-034.mkv', 0, 1, 40, 'videos/clips-text/1-40.mp4-034.mkv.flac.txt', '/videos/1/40.mp4.jpg'),
  (2086, '[CLIP] ', '/videos/clips/1-31.mp4-039.mkv', 0, 1, 31, 'videos/clips-text/1-31.mp4-039.mkv.flac.txt', '/videos/1/31.mp4.jpg'),
  (2087, '[CLIP] ', '/videos/clips/1-15.mp4-023.mkv', 0, 1, 15, 'videos/clips-text/1-15.mp4-023.mkv.flac.txt', '/videos/1/15.mp4.jpg'),
  (2088, '[CLIP] ', '/videos/clips/1-41.mp4-032.mkv', 0, 1, 41, 'videos/clips-text/1-41.mp4-032.mkv.flac.txt', '/videos/1/41.mp4.jpg'),
  (2089, '[CLIP] ', '/videos/clips/1-11.mp4-008.mkv', 0, 1, 11, 'videos/clips-text/1-11.mp4-008.mkv.flac.txt', '/videos/1/11.mp4.jpg'),
  (2090, '[CLIP] ', '/videos/clips/1-20.mp4-033.mkv', 0, 1, 20, 'videos/clips-text/1-20.mp4-033.mkv.flac.txt', '/videos/1/20.mp4.jpg'),
  (2091, '[CLIP] ', '/videos/clips/1-17.mp4-012.mkv', 0, 1, 17, 'videos/clips-text/1-17.mp4-012.mkv.flac.txt', '/videos/1/17.mp4.jpg'),
  (2092, '[CLIP] Bayesian Networks, Inference, Distribution, Assignment, Questions', '/videos/clips/1-39.mp4-062.mkv', 1, 1, 39, 'videos/clips-text/1-39.mp4-062.mkv.flac.txt', '/videos/1/39.mp4.jpg'),
  (2093, '[CLIP] ', '/videos/clips/1-9.mp4-004.mkv', 0, 1, 9, 'videos/clips-text/1-9.mp4-004.mkv.flac.txt', '/videos/1/9.mp4.jpg'),
  (2094, '[CLIP] Support Vectors, Points, Svc, Length, Check', '/videos/clips/1-35.mp4-028.mkv', 0, 1, 35, 'videos/clips-text/1-35.mp4-028.mkv.flac.txt', '/videos/1/35.mp4.jpg'),
  (2095, '[CLIP] ', '/videos/clips/1-47.mp4-057.mkv', 0, 1, 47, 'videos/clips-text/1-47.mp4-057.mkv.flac.txt', '/videos/1/47.mp4.jpg'),
  (2096, '[CLIP] ', '/videos/clips/1-35.mp4-031.mkv', 0, 1, 35, 'videos/clips-text/1-35.mp4-031.mkv.flac.txt', '/videos/1/35.mp4.jpg'),
  (2097, '[CLIP] Data Sets, Format, Start, Learning, Writing', '/videos/clips/1-27.mp4-011.mkv', 0, 1, 27, 'videos/clips-text/1-27.mp4-011.mkv.flac.txt', '/videos/1/27.mp4.jpg'),
  (2098, '[CLIP] ', '/videos/clips/1-1.mp4-024.mkv', 0, 1, 1, 'videos/clips-text/1-1.mp4-024.mkv.flac.txt', '/videos/1/1.mp4.jpg'),
  (2099, '[CLIP] ', '/videos/clips/1-34.mp4-043.mkv', 0, 1, 34, 'videos/clips-text/1-34.mp4-043.mkv.flac.txt', '/videos/1/34.mp4.jpg'),
  (2100, '[CLIP] 0, Function, Equal, Input, Put', '/videos/clips/1-29.mp4-022.mkv', 0, 1, 29, 'videos/clips-text/1-29.mp4-022.mkv.flac.txt', '/videos/1/29.mp4.jpg'),
  (2101, '[CLIP] ', '/videos/clips/1-10.mp4-036.mkv', 0, 1, 10, 'videos/clips-text/1-10.mp4-036.mkv.flac.txt', '/videos/1/10.mp4.jpg'),
  (2102, '[CLIP] ', '/videos/clips/1-4.mp4-032.mkv', 0, 1, 4, 'videos/clips-text/1-4.mp4-032.mkv.flac.txt', '/videos/1/4.mp4.jpg'),
  (2103, '[CLIP] Distance, Distances, Linkage, Points, Minimum', '/videos/clips/1-20.mp4-034.mkv', 0, 1, 20, 'videos/clips-text/1-20.mp4-034.mkv.flac.txt', '/videos/1/20.mp4.jpg');
  
  --
  -- Indexes for dumped tables
  --
  
  --
  -- Indexes for table `videos`
  --
  ALTER TABLE `videos`
    ADD PRIMARY KEY (`id`);
  
  --
  -- AUTO_INCREMENT for dumped tables
  --
  
  --
  -- AUTO_INCREMENT for table `videos`
  --
  ALTER TABLE `videos`
    MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=2104;
  /*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
  /*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
  /*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
  