Working with Scalable Machine Learning Algorithms in Amazon SageMaker


Working with Scalable Machine Learning Algorithms in Amazon SageMaker

Broadcast Date:
March 20, 2018

Level 300 | Service Deep Dive
Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning (ML) models, at any scale. Amazon SageMaker provides high-performance, machine learning algorithms optimized for speed, scale, and accuracy, to perform training on petabyte-scale data sets. This webinar will introduce you to the collection of distributed streaming ML algorithms that come with Amazon SageMaker. You will learn about the difference between streaming and batch ML algorithms, and how SageMaker has been architected to run these algorithms at scale. We will demo Neural Topic Modeling of text documents using a sample SageMaker Notebook, which will be made available to attendees.

Learning Objectives:
• Become aquainted with the popular algorithms provided with Amazon SageMaker
• Learn how to use algorithms for training in Amazon SageMaker
• Learn how the algorithms in Amazon SageMaker were architected to be faster and more efficient by design

Suited For: Developers; Data Scientists; Machine Learning Practitioners

Speaker(s): Edo Liberty, Principal Scientist, AWS Deep Learning, AWS

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