12 Matrix models: Recommender systems, PCA and Graph convolutions

Описание: slides: https://mlvu.github.io/lectures/62.Ma...
course materials: https://mlvu.github.io

Today we discuss a variety of models that benefit from viewing the data as a matrix. We discuss the new abstract task of recommendation, we revisit principal component analysis, and we briefly investigate graph convolutional neural networks.