BayesiaLab Book There are no products in this category.

By Stefan Conrady and Lionel Jouffe
  • Paperback: 382 pages
  • Publisher: Bayesia USA; 1 edition (June 19, 2015)
  • Language: English
  • ISBN-10: 0996533303
  • ISBN-13: 978-0996533300
  • Product Dimensions: 8.5 x 0.9 x 11 inches

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.

A freely downloadable PDF version of this book is available here.

The paper version of the book can be ordered via Amazon.