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Building Probabilistic Graphical Models with Python

2014 Edition, June 25, 2014

Complete Document



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Active, Most Current

EN
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ISBN: 9781783289004
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Product Details:

  • Revision: 2014 Edition, June 25, 2014
  • Published Date: June 25, 2014
  • Status: Active, Most Current
  • Document Language: English
  • Published By: Packt Publishing, Inc. (PACKT)
  • Page Count: 172
  • ANSI Approved: No
  • DoD Adopted: No

Description / Abstract:

"This is a short, practical guide that allows data scientists to understand the concepts of Graphical models and enables them to try them out using small Python code snippets, without being too mathematically complicated.

If you are a data scientist who knows about machine learning and want to enhance your knowledge of graphical models, such as Bayes network, in order to use them to solve real-world problems using Python libraries, this book is for you.This book is intended for those who have some Python and machine learning experience, or are exploring the machine learning field."