BWB REMEMBERS THE BOOKS OF OUR CHILDHOOD (3 OF 3)
The third and final part in our Children’s Book Week series on the books that BWB employees remember from their childhood. Don’t forget...
by Richard E. Neapolitan
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"Learning Bayesian Networks" offers the first accessible and unified text on the study and application of Bayesian networks. This book serves as a key textbook or reference for anyone with an interest in probabilistic modeling in the fields of computer science, computer engineering, and electrical engineering. This text is also a valuable supplemental resource for courses on expert systems, machine learning, and artificial intelligence.
Appropriate for classroom teaching or self-instruction, the text is organized to provide fundamental concepts in an accessible, practical format. Beginning with a basic theoretical introduction, the author then provides a comprehensive discussion of inference, methods of learning, and applications based on Bayesian networks and beyond. "Learning Bayesian Networks: "
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