This textbook addresses pattern recognition and machine learning from a computer science perspective. Christopher M. Bishop provides a comprehensive introduction to probabilistic models, with special emphasis on Bayesian methods and graphical models. The book is intended for advanced undergraduate and first-year master’s students, researc