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MACHINE LEARNING ENGINEERING ON AWS building, scaling, and securing machine learning systems and MLOps pipelines in production /
Work seamlessly with production-ready machine learning systems and pipelines on AWS by addressing key pain points encountered in the ML life cycle Key Features Gain practical knowledge of managing ML workloads on AWS using Amazon SageMaker, Amazon EKS, and more Use container and serverless services...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[S.l.] :
PACKT PUBLISHING LIMITED,
2022.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Table of Contents Introduction to ML Engineering on AWS Deep Learning AMIs Deep Learning Containers Serverless Data Management on AWS Pragmatic Data Processing and Analysis SageMaker Training and Debugging Solutions SageMaker Deployment Solutions Model Monitoring and Management Solutions Security, Governance, and Compliance Strategies Machine Learning Pipelines with Kubeflow on Amazon EKS Machine Learning Pipelines with SageMaker Pipelines.