Monitoring and Debugging Machine Learning Models using AWS Sagemaker

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Monitoring and Debugging Machine Learning Models using AWS Sagemaker
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Machine learning (ML) models are increasingly being used in production services to make important decisions in our day-to-day lives. In this session, we will learn how to monitor and debug Machine Learning models with the usage of the AWS Sagemaker ecosystem from the AWS cloud, from an expert from AWS. Notice that this will be an in-person event.

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Jason Nichols
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Jason is currently a Senior Solution Architect at Amazon Web Services. He focuses on Enterprise customers in the financial sector. As a Solutions Architect, he covers everything from networks to programming, analytics, big data, and more. In addition, he is part of the Machine Learning (ML) Technical Field Community (TFC) within AWS, meaning that he helps customers with ML projects and works with service teams to build new ML services.