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.
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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.
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Elements of Statistical Learning - Hastie, Tibshirani, and Friedman
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High-Dimensional Probability - Vershnyn
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Causal Inference - MIT Course Notes
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Mathematical Statistics and Data Analysis - Rice
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All of Statistics - Wasserman​​
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Vignettes of Physics
A collection of simple but deep theoretical derivations in physics to illustrate how simple and robust deduction can lead to deep insights. ​
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