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Название: Building Probabilistic Graphical Models with Python
Год: 2014
Издатель: Packt Publishing
Язык: english
Кол-во страниц: 141
Формат: PDF
Описание:
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.
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Название: Building Probabilistic Graphical Models with Python
Год: 2014
Издатель: Packt Publishing
Язык: english
Кол-во страниц: 141
Формат: PDF
Описание:
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.
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