Pattern Recognition and Machine Learning
Christopher M. Bishop
Description
A foundational machine learning textbook covering Bayesian methods, graphical models, and modern inference techniques.
Abstract
Introduces pattern recognition and machine learning with a Bayesian perspective. Ideal for advanced undergraduates, PhD students, and practitioners seeking a rigorous yet accessible treatment of probabilistic models and approximate inference.