Matrix Factorization Techniques for Recommender Systems

This course teaches matrix factorization techniques for recommender systems, focusing on live demonstrations. Students will learn how to apply these techniques to build effective recommendation systems. The teaching method involves live coding and practical examples. This course is intended for individuals interested in recommender systems and machine learning.