Building Probabilistic Graphical Models with Python
This is a short, practical guide that allows data scientists to understand the concepts of Graphical models and enables them to try them out using small Python code snippets, without being too mathematically complicated. If you are a data scientist who knows about machine learning and want to enhance your knowledge of graphical models, such as Bayes network, in order to use them to solve real-world problems using Python libraries, this book is for you.This book is intended for those who have some Python and machine learning experience, or are exploring the machine learning field.
Download Now Read OnlineBuilding Probabilistic Graphical Models With Python
Download Now Read Online
Author by : Kiran R Karkera
Languange Used : en
Release Date : 2014-06-25
Publisher by : Packt Publishing Ltd
This is a short, practical guide that allows data scientists to understand the concepts of Graphical models an
Building Probabilistic Graphical Models With Python
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Author by : Kiran Karkal
Languange Used : en
Release Date : 2014-06-14
Publisher by : Packt Pub Limited
Building Probabilistic Graphical Models With Python
Download Now Read Online
Author by : Kiran R. Karkera
Languange Used : en
Release Date : 2014
Publisher by :
"This is a short, practical guide that allows data scientists to understand the concepts of Graphical models a
Mastering Probabilistic Graphical Models Using Python
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Author by : Ankur Ankan
Languange Used : en
Release Date : 2015-07-26
Publisher by :
Master probabilistic graphical models by learning through real-world problems and illustrative code examples i
Learning Probabilistic Graphical Models In R
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Author by : David Bellot
Languange Used : en
Release Date : 2016-04-29
Publisher by : Packt Publishing Ltd
Familiarize yourself with probabilistic graphical models through real-world problems and illustrative code exa
Bayesian Reasoning And Machine Learning
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Author by : David Barber
Languange Used : en
Release Date : 2012-02-02
Publisher by : Cambridge University Press
A practical introduction perfect for final-year undergraduate and graduate students without a solid background
Machine Learning
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Author by : Kevin P. Murphy
Languange Used : en
Release Date : 2012-08-24
Publisher by : MIT Press
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying ap
