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Mastering Probabilistic Graphical Models Using Python: Master Probabilistic 'graphical Models by Learning Through Real-world Problems and Illustrative Code Examples in Python - Softcover
Synopsis
Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python
About This Book
- Gain in-depth knowledge of Probabilistic Graphical Models
- Model time-series problems using Dynamic Bayesian Networks
- A practical guide to help you apply PGMs to real-world problems
Who This Book Is For
If you are a researcher or a machine learning enthusiast, or are working in the data science field and have a basic idea of Bayesian learning...
About the Author
Ankur Ankan
Ankur Ankan is a BTech graduate from IIT (BHU), Varanasi. He is currently working in the field of data science. He is an open source enthusiast and his major work includes starting pgmpy with four other members. In his free time, he likes to participate in Kaggle competitions.
Abinash Panda
Abinash Panda is an undergraduate from IIT (BHU), Varanasi, and is currently working as a data...
"About this title" may belong to another edition of this title.
- PublisherPackt Pub Ltd
- Publication date2015
- ISBN 10 1784394688
- ISBN 13 9781784394684
- BindingPaperback
- LanguageEnglish
- Number of pages260
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Mastering Probabilistic Graphical Models Using Python
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ISBN 10: 1784394688
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