Beginning MLOps with MLFlow : Deploy Models in AWS SageMaker, Google Cloud, and Microsoft Azure /
Contiene: 1) Primeros pasos: análisis de datos; 2) La construcción de modelos; 3) ¿Qué es MLOps?; 4) Introducción a MLFlow; 5) Implementación en AWS; 6) Implementación en Azure; 7) Desplegando en Google.
Guardado en:
| Hovedforfatter: | |
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| Andre forfattere: | |
| Format: | Bog |
| Sprog: | engelsk |
| Udgivet: |
Berkeley, EUA :
Apress,
2020, c2020
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| Fag: | |
| Online adgang: | Ver documento en línea |
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Lignende værker: Beginning MLOps with MLFlow :
- Fast Data Processing with Spark : High-speed Distributed Computing Made Easy with Spark /
- Learning Spark /
- Spark Cookbook : Over 60 Recipes on Spark, Covering Spark Core, Spark SQL, Spark Streaming, MLib, and GraphX Libraries /
- Advanced Analytics with Spark /
- Data Science in Practice /
- Transactions on Large-Scale Data and Knowledge-Centered Systems : XIV /