Fundamentals of Pattern Recognition and Machine Learning is designed for a one or two-semester introductory course in Pattern Recognition or Machine Learning at

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

An accessible undergraduate introduction to the concepts and methods in pattern recognition, machine learning and deep learning.

This book is a concise but thorough introduction to the tools commonly used in pattern recognition and machine learning, including classification, dimensionalit

A coherent introduction to core concepts and deep learning techniques that are critical to academic research and real-world applications.