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Practical machine learning: tackle the real-world complexities of modern machine learning with innovative and cutting-edge techniques

Detalles Bibliográficos
Autor principal: Gollapudi, Sunila
Lenguaje:eng
Publicado: Packt Publ. 2016
Materias:
Acceso en línea:http://cds.cern.ch/record/2133975
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author Gollapudi, Sunila
author_facet Gollapudi, Sunila
author_sort Gollapudi, Sunila
collection CERN
id cern-2133975
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2016
publisher Packt Publ.
record_format invenio
spelling cern-21339752021-04-21T19:47:01Zhttp://cds.cern.ch/record/2133975engGollapudi, SunilaPractical machine learning: tackle the real-world complexities of modern machine learning with innovative and cutting-edge techniquesComputing and ComputersPackt Publ.oai:cds.cern.ch:21339752016
spellingShingle Computing and Computers
Gollapudi, Sunila
Practical machine learning: tackle the real-world complexities of modern machine learning with innovative and cutting-edge techniques
title Practical machine learning: tackle the real-world complexities of modern machine learning with innovative and cutting-edge techniques
title_full Practical machine learning: tackle the real-world complexities of modern machine learning with innovative and cutting-edge techniques
title_fullStr Practical machine learning: tackle the real-world complexities of modern machine learning with innovative and cutting-edge techniques
title_full_unstemmed Practical machine learning: tackle the real-world complexities of modern machine learning with innovative and cutting-edge techniques
title_short Practical machine learning: tackle the real-world complexities of modern machine learning with innovative and cutting-edge techniques
title_sort practical machine learning: tackle the real-world complexities of modern machine learning with innovative and cutting-edge techniques
topic Computing and Computers
url http://cds.cern.ch/record/2133975
work_keys_str_mv AT gollapudisunila practicalmachinelearningtackletherealworldcomplexitiesofmodernmachinelearningwithinnovativeandcuttingedgetechniques