Introduction to Algorithms, Third Edition
Thomas H. Cormen & Charles E. Leiserson & Ronald L. Rivest & Clifford Stein
Computers and Intractability: A Guide to the Theory of NP-completeness
Michael R. Garey & David S. Johnson
Bayesian Data Analysis
Andrew Gelman
C++ Primer Plus
Stephen Prata
Machine Learning, Second Edition: A Probabilistic Perspective
Kevin P. Murphy
Probabilistic Graphical Models: Principles and Techniques
Daphne Koller & Nir Friedman
Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
Stefano V. Albrecht & Filippos Christianos & Lukas Schäfer
Proof and the Art of Mathematics: Examples and Extensions
Joel David Hamkins
Learning Theory From First Principles
Francis Bach