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Опубликовано 4 апреля 2019, 17:21
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Amazon SageMaker is a fully managed machine learning service that data scientists and developers use to build predictive and analytical models with their data. Organizations often need to use sensitive data to train models and generate predictions. In this session, we present the approaches taken to construct Amazon SageMaker with a security standard that would let the most security-conscious organizations do machine learning with confidence, as well as, the specific security-related features offered by the service.
Speaker: Tom Faulhaber, Principal Software Engineer, AI Platforms, AWS
Amazon SageMaker is a fully managed machine learning service that data scientists and developers use to build predictive and analytical models with their data. Organizations often need to use sensitive data to train models and generate predictions. In this session, we present the approaches taken to construct Amazon SageMaker with a security standard that would let the most security-conscious organizations do machine learning with confidence, as well as, the specific security-related features offered by the service.
Speaker: Tom Faulhaber, Principal Software Engineer, AI Platforms, AWS
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