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Probabilistic Graphical Models: Principles and Techniques (Adaptive Computat...

Description: Note: Any images shown are stock photographs and product may differ from what is shown. You are purchasing a Very Good copy of 'Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)'Condition Notes: Supports Goodwill of Silicon Valley job training programs. The cover and pages are in very good condition! The cover and any other included accessories are also in very good condition showing some minor use. The spine is straight, there are no rips tears or creases on the cover or the pages.

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Probabilistic Graphical Models: Principles and Techniques (Adaptive Computat...

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Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

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Release Year: 2009

Book Title: Probabilistic Graphical Models: Principles and Techniques (Ada...

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

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