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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

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