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Machine learning in production: developing and optimizing data science workflows and applications
The typical data science task in industry starts with an “ask” from the business. But few data scientists have been taught what to do with that ask. This book shows them how to assess it in the context of the business’s goals, reframe it to work optimally for both the data scientist and the employer...
Autores principales: | Kelleher, Andrew, Kelleher, Adam |
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Lenguaje: | eng |
Publicado: |
Addison-Wesley
2019
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2669253 |
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