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Automated machine learning on AWS : fast-track the development of your production-ready machine learning applications the AWS way /
Automate the process of building, training, and deploying machine learning applications to production with AWS solutions such as SageMaker Autopilot, AutoGluon, Step Functions, Amazon Managed Workflows for Apache Airflow, and more Key Features Explore the various AWS services that make automated mac...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing,
2022.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Table of Contents Getting Started with Automated Machine Learning on AWS Automating Machine Learning Model Development Using SageMaker Autopilot Automating Complicated Model Development with AutoGluon Continuous Integration and Continuous Delivery (CI/CD) for Machine Learning Continuous Deployment of a Production ML Model Automating the Machine Learning Process Using AWS Step Functions Building the ML Workflow Using AWS Step Functions Automating the Machine Learning Process Using Apache Airflow Building the ML Workflow Using Amazon Managed Workflows for Apache Airflow An Introduction to the Machine Learning Software Development Lifecycle (MLSDLC) Continuous Integration, Deployment, and Training for the MLSDLC.