Probabilistic Graphical Models: Principles and Techniques Adaptive Computation and Machine Learning series 1st Edition

(2 customer reviews)
$89.00

The MIT Press

New

978-0262013192

by Nir Friedman

Hardcover

9 in stock

  • Most jobs need reasoning—drawing conclusions based on available data—by a person or an automated system. This book’s framework of probabilistic graphical models provides a generic approach to this problem. The method is model-based, allowing for the creation of interpretable models that may then be changed by reasoning algorithms. These models can also be trained automatically from data, which means they can be utilised in situations when manually building a model is difficult or impossible. Because uncertainty is an unavoidable part of most real-world applications, the book focuses on probabilistic models, which make uncertainty explicit and enable more accurate models.
ISBN- 13

978-0262013192

ISBN - 10

262013193

Publisher

The MIT Press

Condition

New

Format

Hardcover

Edition

1st

Dimensions

9.22 x 8.18 x 2.05 inches

Item Weight

4.63 pounds

Pages

1231

2 reviews for Probabilistic Graphical Models: Principles and Techniques Adaptive Computation and Machine Learning series 1st Edition

  1. warren davis

    Content is Very comprehensive.

  2. duane immel

    Very usefull book, and te best. conpanion for the course about.

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