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Mastering probabilistic graphical models using Python

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 or probabilistic graphical models, this book will help you to understand the details of graphical models and use them in your data science problems.

Detalles Bibliográficos
Autores principales: Ankan, Ankur, Panda, Abinash
Lenguaje:eng
Publicado: Packt Publ. 2015
Materias:
Acceso en línea:http://cds.cern.ch/record/2050464
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author Ankan, Ankur
Panda, Abinash
author_facet Ankan, Ankur
Panda, Abinash
author_sort Ankan, Ankur
collection CERN
description 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 or probabilistic graphical models, this book will help you to understand the details of graphical models and use them in your data science problems.
id cern-2050464
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
publisher Packt Publ.
record_format invenio
spelling cern-20504642021-04-21T20:05:48Zhttp://cds.cern.ch/record/2050464engAnkan, AnkurPanda, AbinashMastering probabilistic graphical models using PythonComputing and ComputersIf 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 or probabilistic graphical models, this book will help you to understand the details of graphical models and use them in your data science problems.Packt Publ.oai:cds.cern.ch:20504642015
spellingShingle Computing and Computers
Ankan, Ankur
Panda, Abinash
Mastering probabilistic graphical models using Python
title Mastering probabilistic graphical models using Python
title_full Mastering probabilistic graphical models using Python
title_fullStr Mastering probabilistic graphical models using Python
title_full_unstemmed Mastering probabilistic graphical models using Python
title_short Mastering probabilistic graphical models using Python
title_sort mastering probabilistic graphical models using python
topic Computing and Computers
url http://cds.cern.ch/record/2050464
work_keys_str_mv AT ankanankur masteringprobabilisticgraphicalmodelsusingpython
AT pandaabinash masteringprobabilisticgraphicalmodelsusingpython