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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.
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- PublisherBayesia USA
- Publication date2015
- ISBN 10 0996533303
- ISBN 13 9780996533300
- BindingPaperback
- Edition number1
- Number of pages382
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Bayesian Networks and BayesiaLab: A Practical Introduction for Researchers
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Bayesian Networks and BayesiaLab: A Practical Introduction for Researchers
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Bayesian Networks and BayesiaLab: A Practical Introduction for Researchers
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ISBN 13: 9780996533300
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