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Bayesian Networks and BayesiaLab
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  • Title: Bayesian Networks and BayesiaLab
  • Author(s): Stefan Conrady, Lionel Jouffe
  • Publisher: Bayesia USA; 1st edition (June 19, 2015)
  • Paperback: 382 pages
  • eBook: HTML and PDF (383 pages)
  • Language: English
  • ISBN-10/ASIN: 0996533303
  • ISBN-13: 978-0996533300
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Book Description

This practical introduction is geared towards scientists who wish to employ Bayesian Networks for applied research using the BayesiaLab software platform.

Through numerous examples, this book illustrates how implementing Bayesian networks involves concepts from many disciplines, including computer science, probability theory, information theory, machine learning, and statistics.

Each chapter explores a real-world problem domain, exploring aspects of Bayesian networks and simultaneously introducing functions of BayesiaLab. The book can serve as a self-study guide for learners and as a reference manual for advanced practitioners.

About the Authors
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