Building Probabilistic Graphical Models with Python
Solve machine learning problems using probabilistic graphical models implemented in Python with real-world applications
|Price||$16.99 - $35.75
|Author||Kiran R Karkera|
|Format||Paper book / ebook (PDF)|
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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Probabilistic graphical models is a technique in machine learning that uses the concepts of graph theory to concisely represent and optimally predict values in our data problems. Graphical models gives us techniques to find complex patterns in the data and are widely used in the field of speech recognition, information extraction, image s...
Price: $35.99 | Publisher: Packt Publishing | Release: 2015
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Price: $34.99 | Publisher: Packt Publishing | Release: 2018
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Price: $39.99 | Publisher: Packt Publishing | Release: 2018
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Price: $39.99 | Publisher: Packt Publishing | Release: 2015
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Price: $7.00 | Publisher: O'Reilly Media | Release: 2013
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