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How Does Netflix Recommend Movies? Matrix Factorization

Serrano.Academy via YouTube

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Overview

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This course introduces matrix factorization for recommender systems through a Netflix movie-rating example. It explains dependencies between users and movies, error functions, gradient descent, and predicting unrated movies.

Syllabus

What is Machine Learning:
How do recommendations work - Netflix example
How to figure out dependencies - Matrix Factorization
Matrix Factorization Benefits 20:38 How to find the right factorization
Error Function for factorization
How to use the factors to predict ratings - Inference

Taught by

Serrano.Academy

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