PROBABILISTIC GRAPHICAL MODELS - Principles & Techniques (Koller & Friedman) HC

\"Probabilistic Graphical Models: Principles and Techniques\" by Koller and Friedman is a comprehensive textbook that covers the fundamentals and techniques of probabilistic graphical models. Published by MIT Press in 2009, this hardcover book is part of the Adaptive Computation and Machine Learning series. With 1270 pages, it delves into the principles of programming, algorithms, artificial intelligence, semantics, and Bayesian analysis. Written in English, this textbook is a valuable resource for students and professionals in the fields of computer science and mathematics.
Very small defect in cover. See photosNo writing/highlighting inside book