Building probabilistic graphical models with Python : solve machine learning problems using probabilistic graphical models implemented in Python with real-world applications /

Building probabilistic graphical models with Python : solve machine learning problems using probabilistic graphical models implemented in Python with real-world applications /

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Bibliographic Details
Main Author: Karkera, Kiran R. (Author)
Other Authors: Mohanadas, Manju (Cover designer)
Format: Electronic eBook
Language:English
Published: Birmingham, [England] : Packt Publishing, 2014.
Series:Community experience distilled.
Subjects:
Python (Computer program language)
Graphical modeling (Statistics)
Electronic books.
Online Access:An electronic book accessible through the World Wide Web; click to view
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100 1 |a Karkera, Kiran R.,  |e author. 
245 1 0 |a Building probabilistic graphical models with Python :  |b solve machine learning problems using probabilistic graphical models implemented in Python with real-world applications /  |c Kiran R. Karkera ; cover image by Manju Mohanadas. 
264 1 |a Birmingham, [England] :  |b Packt Publishing,  |c 2014. 
264 4 |c ©2014 
300 |a 1 online resource (172 pages) :  |b illustrations. 
336 |a text  |2 rdacontent 
337 |a computer  |2 rdamedia 
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490 1 |a Community Experience Distilled 
504 |a Includes bibliographical references and index. 
588 |a Description based on online resource; title from PDF title page (ebrary, viewed July 10, 2014). 
590 |a Electronic reproduction. Palo Alto, Calif. : ebrary, 2014. Available via World Wide Web. Access may be limited to ebrary affiliated libraries. 
650 0 |a Python (Computer program language) 
650 0 |a Graphical modeling (Statistics) 
655 0 |a Electronic books. 
700 1 |a Mohanadas, Manju,  |e cover designer. 
776 0 8 |i Print version:  |a Karkera, Kiran R.  |t Building probabilistic graphical models with Python : solve machine learning problems using probabilistic graphical models implemented in Python with real-world applications.  |d Birmingham, [England] : Packt Publishing, c2014  |h iv, 155 pages  |k Community experience distilled.  |z 9781783289004 
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