Notes

Taking notes helps me internalize difficult concepts and techniques with my own understanding. My notes are also like an intellectual diary that witnesses my growth over the years.

​

Below is a list of my notes on various subjects in machine learning, statistics and optimization. The completeness and correctness of these notes are not guaranteed but constantly improved. 

​

Elements of Statistical Learning (notes) - Textbook by Hastie, Tibshirani, and Friedman

​

High-Dimensional Probability (notes) - Textbook by Vershnyn

​

Causal Inference (notes) - Course notes

​

Mathematical Statistics and Data Analysis (notes) - Textbook by Rice

​

All of Statistics (notes) - Textbook by Wasserman

​