Pattern Recognition and Machine Learning: Solutions to Exercises ...
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Machine Learning, Second Edition: A Probabilistic Perspective
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Differential Equations and Linear Algebra, 4th Edition
Stephen W. Goode & Scott A. Annin
Bayesian Data Analysis
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Matrix Calculus (for Machine Learning and Beyond)
Alan Edelman, Steven G. Johnson
Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
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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
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