Learning probabilistic graphical models in R : familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R /

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Familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R About This Book Predict and use a probabilistic graphical models (PGM) as an expert system Comprehend how your computer can learn Bayesian modeling to solve real-world problems Kn...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Bellot, David (Author)
Format: Electronic eBook
Language:Inglés
Published: Birmingham, UK : Packt Publishing, 2016.
Series:Community experience distilled.
Subjects:
R (Computer program language)
Probabilistic databases.
R (Langage de programmation)
MATHEMATICS > Applied.
MATHEMATICS > Probability & Statistics > General.
Probabilistic databases
Online Access:Texto completo
Texto completo
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Learning probabilistic graphical models in R : familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R /
by Bellot, David
Published 2016
Texto completo (Requiere registro previo con correo institucional)
Electronic eBook
Show all versions (2)

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