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Algorithms for Convex Optimization
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How to Prove It: A Structured Approach
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A First Course in Mathematical Modeling
Frank R. Giordano & Maurice D. Weir & William P. Fox
Matrix Calculus (for Machine Learning and Beyond)
Alan Edelman, Steven G. Johnson
Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
Stefano V. Albrecht & Filippos Christianos & Lukas Schäfer
Pattern Recognition and Machine Learning
Christopher M. Bishop
Hyperparameter Optimization in Machine Learning
Luca Franceschi
Pen and Paper Exercises in Machine Learning
Michael U. Gutmann
Non-Convex Optimization for Machine Learning
Prateek Jain & Purushottam Kar
Probabilistic Graphical Models: Principles and Techniques
Daphne Koller & Nir Friedman
Statistical Rethinking: A Bayesian Course With Examples in R ...
Richard McElreath
Machine Learning, Second Edition: A Probabilistic Perspective
Kevin P. Murphy
Physics-based Deep Learning
N. Thuerey, B. Holzschuh, P. Holl, G. Kohl, M. Lino, Q. Liu, ...
Computer Vision: Models, Learning, and Inference
Simon J. D. Prince
Pattern Recognition and Machine Learning: Solutions to Exercises ...
Markus Svensén & Christopher M. Bishop