Yet to read. Found these books intersting from their contents and preface.
Monte Carlo Methods
by Adrian Barbu and Song-Chun Zhu
Information Theory: From Coding to Learning [PDF]
By Y. Polyanskiy and Y. Wu
This book is a modern introduction to the field of information theory. In the last two decades, information theory has evolved from a discipline primarily dealing with problems of information storage and transmission (“coding”) to one focusing increasingly on information extraction and denoising (“learning”). This transformation is reflected in the title and content of this book.
Foundations of Computer Vision (Feb 20 2024 release)
By Antonio Torralba, Phillip Isola and William T. Freeman
Everything You Always Wanted To Know About Mathematics* (*But didn’t even know to ask) by Brendan W. Sullivan [PDF]
Bayesian Statistics the Fun Way by Will Kurt [review]
The Book of Why
The Art of Statistics – How to Learn from Data by David Spiegelhalter