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Adaptive Computation and Machine Learning Ser.: Probabilistic Graphical Models :

Description: This textbook, titled "Probabilistic Graphical Models: Principles and Techniques," is a valuable resource for those interested in the subjects of Computers and Mathematics. It was published by MIT Press in 2009, and is a part of the "Adaptive Computation and Machine Learning Ser." series. The book, written in English, has 1270 pages and is available in Hardcover format. The authors, Daphne Koller and Nir Friedman, provide insights into the subjects of Intelligence (Ai) & Semantics and Probability & Statistics / Bayesian Analysis. This book is a must-have for students and professionals alike, looking to expand their knowledge in these areas.

Price: 48.6 USD

Location: Trenton, New Jersey

End Time: 2024-09-12T20:16:47.000Z

Shipping Cost: 6.13 USD

Product Images

Adaptive Computation and Machine Learning Ser.: Probabilistic Graphical Models :Adaptive Computation and Machine Learning Ser.: Probabilistic Graphical Models :Adaptive Computation and Machine Learning Ser.: Probabilistic Graphical Models :Adaptive Computation and Machine Learning Ser.: Probabilistic Graphical Models :

Item Specifics

All returns accepted: ReturnsNotAccepted

Item Length: 9.4 in

Item Height: 2 in

Item Width: 8.3 in

Author: Daphne Koller, Nir Friedman

Publication Name: Probabilistic Graphical Models : Principles and Techniques

Format: Hardcover

Language: English

Subject: Intelligence (Ai) & Semantics, Probability & Statistics / Bayesian Analysis

Publisher: MIT Press

Publication Year: 2009

Series: Adaptive Computation and Machine Learning Ser.

Type: Textbook

Subject Area: Computers, Mathematics

Item Weight: 78 Oz

Number of Pages: 1270 Pages

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