Building Probabilistic Graphical Models with Python

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Название: Building Probabilistic Graphical Models with Python

Автор: Kiran R Karkera

Издательство: Packt Publishing

ISBN: 9781783289004

Жанр: Программинг

Год: 2014

Страниц: 173

Формат: PDF

Размер: 4 МБ

Качество: Отличное

Язык: Английский

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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