Amazon Aurora Machine Learning – SageMaker Integration

Опубликовано 25 августа 2020, 21:16

Learn how you can turn relational data into insights using Amazon Aurora and it's integration with Machine learning. In this video, you will learn how to take existing data in your relational database and enrich it using Amazon Sagemaker. We will discuss how this integration works, the different prerequisites, and how to configure it. We will also see a demo of churn predictions with the scikit-learn framework, utilizing random forest classifier. All by running simple SQL queries!

Learn more about Amazon Aurora at - bit.ly/2Evhl1S

If you would like to learn about sentiment analysis using Amazon Aurora integration with comprehend, please take a look at the previous video in this series. - bit.ly/3igWjmn

We encourage you to try this yourself by visiting our hands on Aurora labs at - bit.ly/3m4yikU

Learn more about Amazon Aurora Machine Learning integration by reading the user guide at - amzn.to/3hgrgG0

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