Building Probabilistic Graphical Models with Python

Ebook

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.

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Building Probabilistic Graphical Models With Python


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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

Bayesian Methods For Hackers


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Author by : Cameron Davidson-Pilon
Languange Used : en
Release Date : 2015-09-30
Publisher by : Addison-Wesley Professional

Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis

Building Machine Learning Systems With Python Second Edition


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Author by : Luis Pedro Coelho
Languange Used : en
Release Date : 2015-03-26
Publisher by : Packt Publishing Ltd

This book primarily targets Python developers who want to learn and use Python's machine learning capabilities

Creating Apps In Kivy


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Author by : Dusty Phillips
Languange Used : en
Release Date : 2014-04-09
Publisher by : "O'Reilly Media, Inc."

Build mobile apps efficiently with Kivy, the Python-powered graphical toolkit for creating natural user interf

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

Click Models For Web Search


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Author by : Aleksandr Chuklin
Languange Used : en
Release Date : 2015-07-01
Publisher by : Morgan & Claypool Publishers

With the rapid growth of web search in recent years the problem of modeling its users has started to attract m

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