Computer Vision: Models, Learning, and Inference
Simon J. D. Prince
Filtering and System Identification: A Least Squares Approach
Michel Verhaegen & Vincent Verdult
Information Retrieval: Implementing and Evaluating Search Engines
Stefan Buttcher & Charles L. A. Clarke & Gordon V. Cormack
Computational Methods for Electromagnetic Inverse Scattering
Xudong Chen
Matrix Calculus (for Machine Learning and Beyond)
Alan Edelman, Steven G. Johnson
Hyperparameter Optimization in Machine Learning
Luca Franceschi
Physics-based Deep Learning
N. Thuerey, B. Holzschuh, P. Holl, G. Kohl, M. Lino, Q. Liu, ...
Statistical Rethinking: A Bayesian Course With Examples in R ...
Richard McElreath
Pen and Paper Exercises in Machine Learning
Michael U. Gutmann
Pattern Recognition and Machine Learning: Solutions to Exercises ...
Markus Svensén & Christopher M. Bishop
Pattern Recognition and Machine Learning
Christopher M. Bishop
Probabilistic Graphical Models: Principles and Techniques
Daphne Koller & Nir Friedman
Non-Convex Optimization for Machine Learning
Prateek Jain & Purushottam Kar
Machine Learning, Second Edition: A Probabilistic Perspective
Kevin P. Murphy
Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
Stefano V. Albrecht & Filippos Christianos & Lukas Schäfer