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Hands-on data science and Python machine learning: perform data mining and machine learning efficiently using Python and Spark
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Lenguaje: | eng |
Publicado: |
Packt Publishing
2017
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Acceso en línea: | http://cds.cern.ch/record/2282183 |
_version_ | 1780955639423434752 |
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author | Kane, Frank |
author_facet | Kane, Frank |
author_sort | Kane, Frank |
collection | CERN |
id | cern-2282183 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2017 |
publisher | Packt Publishing |
record_format | invenio |
spelling | cern-22821832021-04-21T19:04:49Zhttp://cds.cern.ch/record/2282183engKane, FrankHands-on data science and Python machine learning: perform data mining and machine learning efficiently using Python and SparkComputing and ComputersPackt Publishingoai:cds.cern.ch:22821832017 |
spellingShingle | Computing and Computers Kane, Frank Hands-on data science and Python machine learning: perform data mining and machine learning efficiently using Python and Spark |
title | Hands-on data science and Python machine learning: perform data mining and machine learning efficiently using Python and Spark |
title_full | Hands-on data science and Python machine learning: perform data mining and machine learning efficiently using Python and Spark |
title_fullStr | Hands-on data science and Python machine learning: perform data mining and machine learning efficiently using Python and Spark |
title_full_unstemmed | Hands-on data science and Python machine learning: perform data mining and machine learning efficiently using Python and Spark |
title_short | Hands-on data science and Python machine learning: perform data mining and machine learning efficiently using Python and Spark |
title_sort | hands-on data science and python machine learning: perform data mining and machine learning efficiently using python and spark |
topic | Computing and Computers |
url | http://cds.cern.ch/record/2282183 |
work_keys_str_mv | AT kanefrank handsondatascienceandpythonmachinelearningperformdataminingandmachinelearningefficientlyusingpythonandspark |