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Feature engineering for machine learning: principles and techniques for data scientists

Detalles Bibliográficos
Autores principales: Zheng, Alice, Casari, Amanda
Lenguaje:eng
Publicado: O'Reilly Media 2018
Materias:
Acceso en línea:http://cds.cern.ch/record/2670779
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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