Computational Methods for Electromagnetic Inverse Scattering
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Forecasting Economic Time Series
C. W. J. Granger & Paul Newbold & Karl Shell
Non-Convex Optimization for Machine Learning
Prateek Jain & Purushottam Kar
The Landscapes of Science and Religion: What Are We Disagreeing ...
Nick Spencer & Hannah Waite
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
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
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Computer Vision: Models, Learning, and Inference
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Pattern Recognition and Machine Learning: Solutions to Exercises ...
Markus Svensén & Christopher M. Bishop