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Feature engineering for machine learning: principles and techniques for data scientists
| Autores principales: | , |
|---|---|
| Lenguaje: | eng |
| Publicado: |
O'Reilly Media
2018
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2670779 |
| _version_ | 1780962294674489344 |
|---|---|
| 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 |