Mathematics and Statistics Resources
Books
- Introduction to Applied Linear Algebra, Boyd and Vandenberghe
- Convex Optimization, Boyd and Vandenberghe
- Mathematics for Machine Learning, Deisenroth, Faisal, and Ong
- Computational Linear Algebra for Coders, Thomas
- Probability and Mathematical Statistics, Sahoo
- Introduction to Statistical Thought, Lavine
- Introduction to Probability, Grinstead and Snell
Articles and Notes
- The Matrix Calculus You Need For Deep Learning Parr and Howard
- The Matrix Cookbook, Petersen and Pedersen
- The Probability and Statistics Cookbook, Vallentin
Tutorial Videos