Modeling and Reasoning with Bayesian Networks, Paperback/Adnan Darwiche - Cambridge University Press

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This book provides a thorough introduction to the formal foundations and practical applications of Bayesian networks.
The author assumes very little.
It also treats exact and approximate inference algorithms at both theoretical and practical levels.
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.
This book provides a thorough introduction to the formal foundations and practical applications of Bayesian networks