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Building Probabilistic Graphical Models with Python Pages : 172 - Edition : 0 - Type : pdf


Building Probabilistic Graphical Models with Python (Kiran R Karkera)

Shared by Blue Galaxy on 2016-03-20

Building Probabilistic Graphical Models with Python With the increasing prominence in machine learning and data science applications, probabilistic graphical models are a new tool that machine learning users can use to discover and analyze structures in complex problems. The variety of tools and algorithms under the PGM framework extend to many domains such as natural language processing, speech processing, image processing, and disease diagnosis. You've probably heard of graphical models before, and you're keen to try out new landscapes in the machine learning area. This book gives you enough background information to get started on graphical models, while keeping the math to a minimum. Paperback: 172 pages Publisher: Packt Publishing - ebooks Account (May 25, 2014) Language: English ISBN-10: 1783289007 ISBN-13: 978-1783289004

tags  Tags:  Python 

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