malicious urlspredicting - acquiring url data - data exploration - defining research goals model building - overview many-to-many relationship map js mapper job mapreduce algorithms mapreduce function mapreduce libraryjavascript - mapreduce programming method problems solved by spark use by hadoop framework - mapreducephases of massive open online courses see mooc match clause matost matplotlib package matrix trace maxpoint md tag mean squared error measurementunits of meguro memorypackages for working with data in mind map mini-batch learning missing values - mkdir uri command mlbam (major league baseball advanced media mllib mnist data set - mnist database model building creating hamming distance function - in malicious urls prediction - overview modeling process - engineering features and selecting model - predicting new observations index recipe recommendation engine example - training model validating model - models - defined diagnostics and comparison - execution of - selection of - moneyballthe art of winning an unfair game monitoring systemsfor social media mooc (massive open online courses multi-model database multi-node deployment mv olduri newuri command mysql consoleon linux mysql database mysql notifier mysql root password mysql root user mysql serverinstalling - linux installation - windows installation - mysql - root - command mysql workbench mysqldb naive bayes classifier naive bayes model - naivebayesdata json named entity recognition technique nasdaq example natural language - natural language processing see nlp natural language toolkit see nltk neo jsetting up - linux installation windows installation - netflix network graphs newsql platforms ngos (nongovernmental organizations nlp (natural language processing nltk (natural language toolkit - nltk corpus nltk decision tree classifier nltk package nltk word tokenizer nltk download(command nltk org nn tag nnp tag nnps tag nns tag node communication failure node componentnetwork data nodes - normalization nosql (not only structured query languagebase principles of nosql databases - data exploration - handling spelling mistakes overview project primary objective - project secondary objective - data preparation - data retrieval and preparation - database types - column-oriented database - document stores - graph databases - key-value stores - overview presentation and automation setting research goal nosql databases - np around(function numba numbapro numexpr numpy package nvd