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Feature engineering for machine learning: principles and techniques for data scientists
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
O'Reilly Media
2018
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2670779 |
_version_ | 1780962294674489344 |
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author | Zheng, Alice Casari, Amanda |
author_facet | Zheng, Alice Casari, Amanda |
author_sort | Zheng, Alice |
collection | CERN |
id | cern-2670779 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2018 |
publisher | O'Reilly Media |
record_format | invenio |
spelling | cern-26707792021-04-21T18:26:36Zhttp://cds.cern.ch/record/2670779engZheng, AliceCasari, AmandaFeature engineering for machine learning: principles and techniques for data scientistsComputing and ComputersO'Reilly Mediaoai:cds.cern.ch:26707792018 |
spellingShingle | Computing and Computers Zheng, Alice Casari, Amanda Feature engineering for machine learning: principles and techniques for data scientists |
title | Feature engineering for machine learning: principles and techniques for data scientists |
title_full | Feature engineering for machine learning: principles and techniques for data scientists |
title_fullStr | Feature engineering for machine learning: principles and techniques for data scientists |
title_full_unstemmed | Feature engineering for machine learning: principles and techniques for data scientists |
title_short | Feature engineering for machine learning: principles and techniques for data scientists |
title_sort | feature engineering for machine learning: principles and techniques for data scientists |
topic | Computing and Computers |
url | http://cds.cern.ch/record/2670779 |
work_keys_str_mv | AT zhengalice featureengineeringformachinelearningprinciplesandtechniquesfordatascientists AT casariamanda featureengineeringformachinelearningprinciplesandtechniquesfordatascientists |