Matrix methods for data processing and compression

This repository contains lectures and other data for the course "Matrix methods for data processing and compression", MSU CMC, Fall 2017

1. Introduction and syllabus
2. Python tutorial and exercises
3. k-NN and metric learning
4. Optimization in machine learning problems
5. Regression problem: standard methods
6. Regression problem: quality measures and regularization
7. SVM
8. Representation learning
9. Clustering