![]() How does fastai use deep learning to build collaborative filtering model in two ways?.How does fastai use rules of thumb to recommend the number of latent factors for users and movies?.How to do collaborative filtering with deep learning instead of matrix completion with dot product above? How to apply the easist neuralnet model architecture onto this collaborative filtering case?.Go to read the fastbook for boostrapping a collaborative filtering modelĭeep learning for collaborative filtering.How to use Embedding distance to find out movie similarities?.Questions: is PCA useful in other applications? Where to find more of PCA? Why should you take Rachel’s Computational Linear Algebra?.How fastai construct everything under the hood of collab_learner?.How fastai makes all the work above easier with just one line of code?. ![]()
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