This volume provides readers with a compact, stimulating and multifaceted introduction to interpretability, a key issue for developing insightful statistical an

This volume provides readers with a compact, stimulating and multifaceted introduction to interpretability, a key issue for developing insightful statistical an

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simp

This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approxi

A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. I