Table of Contents
    
    0:00 Collaborative filtering  
 6:50 Movielens dataset: data wrangling with pandas  
 11:36 Test/train split with sklearn  
 13:51 The dot model neural network  
 19:03 Checking your model  
 21:19 Coding the training loop  
 21:49 Checking your training loop  
 23:27 FactorizationModel: a deep learning framework  
 27:36 Checking your FactorizationModel  
 30:55 Sorting the movies  
 33:00 PCA of movies embeddings  
 36:40 SPOTLIGHT lib  
     13:51 Start with your implementation of the dot model