Recommender Systems Lecture | SVD, Matrix Factorization and SGD mini-batch

This lecture covers the baseline algorithms on Recommender systems including SVD, Matrix Factorization and SGD. Taught as part of the summer course on Recommender Systems at University of Washington, Seattle in the summer of 2022. Chapters 0:00 Course Logistics 6:09 SVD/PCA 9:51 Matrix Factorization 19:02 Matrix Completion 38:33 Regularization in Matrix Factorization 56:49 Stochastic Gradient Descent (SGD) 1:15:33 Batch Gradient Descent 1:26:38 SGD algorithm 1:29:06 Mini-batch SGD 1:31:02 Mini-batch vs GD 1:36:40 Course Logistics