Probabilistic Graphical Models: Principles and Techniques
Daphne Koller & Nir Friedman
The Landscapes of Science and Religion: What Are We Disagreeing ...
Nick Spencer & Hannah Waite
How to Prove It: A Structured Approach
Daniel J. Velleman
Entropy and Diversity: The Axiomatic Approach
Tom Leinster
Machine Learning, Second Edition: A Probabilistic Perspective
Kevin P. Murphy
Proof and the Art of Mathematics: Examples and Extensions
Joel David Hamkins
Introduction to Algorithms, Third Edition
Thomas H. Cormen & Charles E. Leiserson & Ronald L. Rivest & Clifford Stein
Learning Theory From First Principles
Francis Bach
Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
Stefano V. Albrecht & Filippos Christianos & Lukas Schäfer