Machine Learning using SQL for your data in your data warehouse
About the session:
Using data in your data warehouse for machine learning use cases like churn prediction can be complicated because of the different tools and skills required. In this session, learn how with Amazon Redshift Machine Learning, you can use SQL to automatically create, train, and apply machine learning (ML) models with the data in your data warehouse using familiar SQL commands. Join this session to learn how to leverage this new Amazon SageMaker integration to embed predictions like fraud detection and risk scoring directly in queries and reports, without any prior ML experience. And if you are a data scientist, you will learn how you can make use of custom training model which we can train on Amazon SageMaker and use the same for invocation directly from your data warehouse using simple SQL.
About the speaker: Suman Debnath, Principal Developer Advocate at Amazon Web Services
LinkedIn: / suman-d