Elements of Programming Interviews: The Insiders' Guide
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Writing Well and Being Well for Your PhD and Beyond: How to ...
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Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
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C++ Primer Plus
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Bayesian Data Analysis
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Collection of Problems in Probability Theory
L. D. Meshalkin
Forecasting Economic Time Series
C. W. J. Granger & Paul Newbold & Karl Shell
Information Geometry and Its Applications
Shun-Ichi Amari
Information Theory, Inference and Learning Algorithms
David J. C. MacKay
Machine Learning, Second Edition: A Probabilistic Perspective
Kevin P. Murphy
Pen and Paper Exercises in Machine Learning
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Probabilistic Graphical Models: Principles and Techniques
Daphne Koller & Nir Friedman
Statistical Rethinking: A Bayesian Course With Examples in R ...
Richard McElreath