Build, Train and Deploy ML Models at Scale with Amazon SageMaker
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Amazon Web Services776 тыс
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12.04.18 – 4 99232:35
Опубликовано 12 апреля 2018, 18:59
Learn more at - amzn.to/2GUgyaS
Amazon SageMaker is a fully-managed service that enables data scientists and developers to quickly and easily build, train, and deploy machine learning models, at scale. This session we will share the features of Amazon SageMaker, including a one-click training environment, highly-optimized machine learning algorithms with built-in model tuning, and deployment without engineering effort. With zero-setup required, Amazon SageMaker significantly decreases your training time and overall cost of building production machine learning systems.
Speaker:
- Koorosh Lohrasbi, Solutions Architect, Amazon Web Services, ANZ
Amazon SageMaker is a fully-managed service that enables data scientists and developers to quickly and easily build, train, and deploy machine learning models, at scale. This session we will share the features of Amazon SageMaker, including a one-click training environment, highly-optimized machine learning algorithms with built-in model tuning, and deployment without engineering effort. With zero-setup required, Amazon SageMaker significantly decreases your training time and overall cost of building production machine learning systems.
Speaker:
- Koorosh Lohrasbi, Solutions Architect, Amazon Web Services, ANZ
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