Working with Scalable Machine Learning Algorithms in Amazon SageMaker

Working with Scalable Machine Learning Algorithms in Amazon SageMaker

March 20 | 1:00 PM - 1:45 PM PT (4:00 PM - 4:45 PM ET)

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

Who Should Attend: Developers; Data Scientists; Machine Learning Practitioners

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

Register for the Webinar