Description: This book titled "Probabilistic Graphical Models: Principles and Techniques" by Nir Friedman and Daphne Koller is a comprehensive guide for anyone interested in the subject of computer science, mathematics, programming, algorithms, intelligence, semantics, probability, and statistics. The book covers various aspects of Bayesian analysis and is published by MIT Press in 2009. The book is available in a hardcover format and has 1270 pages. It measures 9.4 inches in length, 8.3 inches in width, and 2 inches in height. The book is written in English and is part of the Adaptive Computation and Machine Learning Ser. series. It weighs 78 Oz and has been categorized under Books & Magazines, Textbooks, Education & Reference, and Textbooks.
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Pages: 1270
Publication Date: 2009-08-01
Book Title: Probabilistic Graphical Models: Principles and Techniques
Number of Pages: 1270 Pages
Language: English
Publication Name: Probabilistic Graphical Models : Principles and Techniques
Publisher: MIT Press
Publication Year: 2009
Subject: Programming / Algorithms, Intelligence (Ai) & Semantics, Probability & Statistics / Bayesian Analysis
Item Height: 2 in
Item Weight: 78 Oz
Type: Textbook
Subject Area: Mathematics, Computers
Item Length: 9.4 in
Author: Nir Friedman, Daphne Koller
Item Width: 8.3 in
Series: Adaptive Computation and Machine Learning Ser.
Format: Hardcover
