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Marketing data science: modeling techniques in predictive analytics with R and Python
Autor principal: | |
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Lenguaje: | eng |
Publicado: |
Pearson Education
2015
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Acceso en línea: | http://cds.cern.ch/record/2022121 |
_version_ | 1780946977997979648 |
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author | Miller, Thomas W |
author_facet | Miller, Thomas W |
author_sort | Miller, Thomas W |
collection | CERN |
id | cern-2022121 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2015 |
publisher | Pearson Education |
record_format | invenio |
spelling | cern-20221212021-04-21T20:15:06Zhttp://cds.cern.ch/record/2022121engMiller, Thomas WMarketing data science: modeling techniques in predictive analytics with R and PythonComputing and ComputersPearson Educationoai:cds.cern.ch:20221212015 |
spellingShingle | Computing and Computers Miller, Thomas W Marketing data science: modeling techniques in predictive analytics with R and Python |
title | Marketing data science: modeling techniques in predictive analytics with R and Python |
title_full | Marketing data science: modeling techniques in predictive analytics with R and Python |
title_fullStr | Marketing data science: modeling techniques in predictive analytics with R and Python |
title_full_unstemmed | Marketing data science: modeling techniques in predictive analytics with R and Python |
title_short | Marketing data science: modeling techniques in predictive analytics with R and Python |
title_sort | marketing data science: modeling techniques in predictive analytics with r and python |
topic | Computing and Computers |
url | http://cds.cern.ch/record/2022121 |
work_keys_str_mv | AT millerthomasw marketingdatasciencemodelingtechniquesinpredictiveanalyticswithrandpython |