Description: This textbook titled "Probabilistic Graphical Models: Principles and Techniques" by Daphne Koller and Nir Friedman, published by The MIT Press in 2009, is a valuable resource for students and practitioners interested in computer science and mathematical analysis. The book covers adaptive computation and machine learning, with a focus on probabilistic graphical models. The hardcover book has a height of 8.3 inches, a width of 2 inches, and weighs 78 ounces. It has 1231 pages and is categorized as a textbook. The book is an excellent tool for anyone interested in the subject area of adaptive computation and machine learning.
Price: 35 USD
Location: Raleigh, North Carolina
End Time: 2024-11-24T17:57:30.000Z
Shipping Cost: 6.13 USD
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Subject Area: Mathematics, Computers
Publication Name: Probabilistic Graphical Models : Principles and Techniques
Publisher: MIT Press
Item Length: 9.4 in
Subject: Programming / Algorithms, Intelligence (Ai) & Semantics, Probability & Statistics / Bayesian Analysis
Series: Adaptive Computation and Machine Learning
Publication Year: 2009
Type: Textbook
Format: Hardcover
Language: English
Item Height: 2 in
Author: Nir Friedman, Daphne Koller
Country/Region of Manufacture: United States
Item Weight: 78 Oz
Item Width: 8.3 in
Number of Pages: 1270 Pages
