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Textbooks on Various Subjects

Date written Jun 7, 2020
Date updated Last updated: Apr 13, 2021
Filed under Books in ref


Well-written textbooks (or even theses) are the fastest way to learn technical topics that have achieved critical mass. Inspired by a similarly titled post on LessWrong, I have my own evolving list.

For obvious reasons, I have not read most books cover to cover. I have, however, read a few chapters of each to be convinced that the rest of the book would be worth reading. Often, multiple books cater to overlapping topics, and provide complementary strengths to aid understanding. When multiple books are specified within each (sub-)section, it is safe to assume that as a "soft" recommendation order.

General Mathematics

Linear Algebra

Numerical Methods


Differential Equations

Machine Learning / Statistics

Bayesian Inference

Learning Theory


I have not read these books, but keeping here as good introductory references to complex topics when I need them.