Computational Methods for Electromagnetic Inverse Scattering
Xudong Chen
Heard on the Street: Quantitative Questions From Wall Street ...
Timothy Falcon Crack
Reading, Writing, and Proving: A Closer Look at Mathematics
Ulrich Daepp & Pamela Gorkin
A First Course in Mathematical Modeling
Frank R. Giordano & Maurice D. Weir & William P. Fox
Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
Stefano V. Albrecht & Filippos Christianos & Lukas Schäfer
Machine Learning, Second Edition: A Probabilistic Perspective
Kevin P. Murphy
Non-Convex Optimization for Machine Learning
Prateek Jain & Purushottam Kar
Pattern Recognition and Machine Learning
Christopher M. Bishop
Computer Vision: Models, Learning, and Inference
Simon J. D. Prince
Probabilistic Graphical Models: Principles and Techniques
Daphne Koller & Nir Friedman
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