# Reference

Doing some much-needed repetition of various subjects in mathematics and statistics.
Will document various solutions, articles, code bits etc.

### Statistics

Introduction to Probability by Grinstead and Snell

All of Statistics by Wasserman

### Machine Learning and Statistical Learning

Mathematics for Machine Learning by Deisenroth, Faisal, Ong.

Reinforcement Learning Lecture by Silver

Elements of Statistical Learning by Hastie, Tibshirani

Artificial Intelligence - A modern approach by Russell, Norvig

### Linear Algebra

Linear Algebra - and Its Applications by Lay

Linear Algebra Done Right by Axler

### Real Analysis

Introductory Real Analysis by Kolmogorov and Fomin

### Markov Chains

Markov Chains by Norris

*Coming...*

### Measure Theory

Measures, Integrals and Martingales by Schilling

*Coming...*