Kubeflow for machine learning from lab to production
If you're training a machine learning model but aren't sure how to put it into production, this book will get you there. Kubeflow provides a collection of cloud native tools for different stages of a model's lifecycle, from data exploration, feature preparation, and model training to...
| Otros Autores: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, California :
O'Reilly Media, Incorporated
[2021]
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| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630587906719 |
Tabla de Contenidos:
- 1. Kubeflow : what it is and who it is for
- 2. Hello Kubeflow
- 3. Kubeflow design : beyond the basics
- 4. Kubeflow pipelines
- 5. Data and feature preparation
- 6. Artifact and metadata store
- 7. Training a machine learning model
- 8. Model inference
- 9. Case study using multiple tools
- 10. Hyperparameter tuning and automated machine learning.
