Here are some Recommended Books by Topic.
A long list of questions for preparing for the Data Science Interview with detailed solutions. Great for preparing, not great for learning the material for the first time. You can find me talking about some of the questions on my YouTube Channel.
Well-written book going over many of the fundamental principles in Machine Learning. A bit mathematically heavy.
Can be a good reference for Learning some of the statistical underpinnings of Machine Learning.
A classic text on probability, delving into intuition, formalism, and applications.
Phenomenal book on graduate level real analysis. Must read series of 4 books, including Fourier Analysis, Complex Analysis and Functional Analysis. Covers the heat equation, Brownian motion, and the Central Limit Theorem from an analytic perspective.
Ray Dalio discusses some of the principles he believed helped him become successful.
Emanuel Derman juxtaposes his life in academia to that of being a Wall Street Quant.
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