Manage Deep Learning Models at Scale with Amazon SageMaker (Level 300)
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81.5
Amazon Web Services776 тыс
Следующее
24.08.18 – 17 93529:14Популярные
Опубликовано 24 августа 2018, 19:52
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Amazon SageMaker is a fully managed service that enables data scientists and developers to quickly and easily build, train, and deploy ML models at scale with zero setup. It significantly decreases your training time and the overall cost of building production ML systems. In this session, we describe the features of Amazon SageMaker, including the one-click training environment and highly optimized ML algorithms with built-in model tuning, and we show you how to deploy ML models at scale without engineering effort.
Speaker: Jan Haak, Global Solution Architect, Amazon Web Services
Amazon SageMaker is a fully managed service that enables data scientists and developers to quickly and easily build, train, and deploy ML models at scale with zero setup. It significantly decreases your training time and the overall cost of building production ML systems. In this session, we describe the features of Amazon SageMaker, including the one-click training environment and highly optimized ML algorithms with built-in model tuning, and we show you how to deploy ML models at scale without engineering effort.
Speaker: Jan Haak, Global Solution Architect, Amazon Web Services
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