Building Probabilistic Graphical Models with Python

✍ Scribed by Kiran R Karkera

Publisher: Packt Publishing
Year: 2014
Tongue: English
Leaves: 173
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

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