Price: $137.00 - $121.18
(as of Oct 16, 2024 13:28:22 UTC – Details)
This book provides a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design, learning models from data, and debugging models using sensitivity analysis. It also treats exact and approximate inference algorithms at both theoretical and practical levels. The author assumes very little background on the covered subjects, supplying in-depth discussions for theoretically inclined readers and enough practical details to provide an algorithmic cookbook for the system developer.
Publisher : Cambridge University Press; 1st edition (April 6, 2009)
Language : English
Hardcover : 562 pages
ISBN-10 : 0521884381
ISBN-13 : 978-0521884389
Item Weight : 2.56 pounds
Dimensions : 7 x 1.25 x 10 inches
Customers say
Customers find the book comprehensive and thorough. They say it provides a good basic understanding of using Bayesian networks in modeling complex scenarios. Readers also mention the writing quality is extremely well-written.
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