Introducing Amazon SageMaker – AWS Online Tech Talks – #AWS

Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. This tech talk will introduce you to 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.

Learning Objectives:
– Learn how Amazon SageMaker can be used for exploratory data analysis before training
– Learn how Amazon SageMaker provides managed distributed training with flexibility
– Learn how easy it is to deploy your models for hosting within Amazon SageMaker

About The Author
- Launched in 2006, Amazon Web Services offers a robust, fully featured technology infrastructure platform in the cloud comprised of a broad set of compute, storage, database, analytics, application, and deployment services from data center locations in the U.S., Australia, Brazil, China, Germany, Ireland, Japan, and Singapore. More than a million customers, including fast-growing startups, large enterprises, and government agencies across 190 countries, rely on AWS services to innovate quickly, lower IT costs and scale applications globally. To learn more about AWS, visit

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