1 Year Machine Learning Journey
GitHub - andri27-ts/1-Year-MachineLearning-Journey: An advanced program in Machine Learning and Deep Learning
1 Year Machine Learning Journey
An advanced program in Machine Learning and Deep Learning
This is the program I followed in the last year to learn Machine Learning, especially Deep Learning and gain an in-depth knowledge in each and every of the most common AI fields, namely Computer Vision, Natural Language Processing and Deep Reinforcement Learning. All the material is taught by top world experts and researchers.
I hope that it'll be of any help to those of you who want to have a full and in-depth overview of these amazing field.
NB: all the lectures are free except for the Deep Learning Specialization by Andrew Ng but that I highly recommend.
To get a full overview of each 'chapter' and test my skills, I did a project that required a few months of work. They have been extremely important to get the hands dirty on each subject and to develop the skills required in the ML projects.
I highly advise you to do the same.

Artificial Intelligence is the New Electricity — Andrew Ng

Overview of AI

Lectures: MIT 6.034 Artificial Intelligence

Machine Learning
Material

Lectures: Machine Learning, Coursera-Stanford
Book: Hand-On Machine Learning with Scikit-learn and Tensorflow, Aurélien Géron

Project

TrackML Particle Tracking Challenge

Deep Learning
Material

Lectures: Deep Learning Specialization, Coursera-deeplearning.AI

Neural Networks and Deep Learning
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Structuring Machine Learning Projects
Convolutional Neural Networks


Book: Deep Learning, Ian Goodfellow

Natural Language Processing
Material

Lectures: Natural Language Processing with Deep Learning, Stanford

Project

Quora Question Pairs

Computer vision
Material

Lectures: Convolutional Neural Networks for Visual Recognition, Stanford
Lectures: MIT 6.S094: Deep Learning for Self-Driving Cars

Project

Statoil/C-CORE Iceberg Classifier Challenge

Deep Reinforcement Learning:
Material

60 Days RL Challenge

Lectures: Deep Reinforcement Learning, Berkley
Lectures: Reinforcement Learning, DeepMind
Book: Reinforcement learning, Sutton



Projects

60 Days RL Challenge
Pommerman

Others:

Lectures: MIT 6.S099: Artificial General Intelligence

