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Statistics for machine learning: build supervised, unsupervised, and reinforcement learning models using both Python and R
| Autor principal: | |
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| Lenguaje: | eng |
| Publicado: |
Packt Publishing
2017
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2282194 |
| _version_ | 1780955641783779328 |
|---|---|
| author | Dangeti, Pratap |
| author_facet | Dangeti, Pratap |
| author_sort | Dangeti, Pratap |
| collection | CERN |
| id | cern-2282194 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2017 |
| publisher | Packt Publishing |
| record_format | invenio |
| spelling | cern-22821942021-04-21T19:04:47Zhttp://cds.cern.ch/record/2282194engDangeti, PratapStatistics for machine learning: build supervised, unsupervised, and reinforcement learning models using both Python and RComputing and ComputersPackt Publishingoai:cds.cern.ch:22821942017 |
| spellingShingle | Computing and Computers Dangeti, Pratap Statistics for machine learning: build supervised, unsupervised, and reinforcement learning models using both Python and R |
| title | Statistics for machine learning: build supervised, unsupervised, and reinforcement learning models using both Python and R |
| title_full | Statistics for machine learning: build supervised, unsupervised, and reinforcement learning models using both Python and R |
| title_fullStr | Statistics for machine learning: build supervised, unsupervised, and reinforcement learning models using both Python and R |
| title_full_unstemmed | Statistics for machine learning: build supervised, unsupervised, and reinforcement learning models using both Python and R |
| title_short | Statistics for machine learning: build supervised, unsupervised, and reinforcement learning models using both Python and R |
| title_sort | statistics for machine learning: build supervised, unsupervised, and reinforcement learning models using both python and r |
| topic | Computing and Computers |
| url | http://cds.cern.ch/record/2282194 |
| work_keys_str_mv | AT dangetipratap statisticsformachinelearningbuildsupervisedunsupervisedandreinforcementlearningmodelsusingbothpythonandr |