Matrix Calculus (for Machine Learning and Beyond)
Alan Edelman, Steven G. Johnson
Pen and Paper Exercises in Machine Learning
Michael U. Gutmann
Non-Convex Optimization for Machine Learning
Prateek Jain & Purushottam Kar
Information Theory, Inference and Learning Algorithms
David J. C. MacKay
Why Greatness Cannot Be Planned: The Myth of the Objective
Kenneth O. Stanley & Joel Lehman
The Landscapes of Science and Religion: What Are We Disagreeing ...
Nick Spencer & Hannah Waite