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Serverless Machine Learning with Amazon Redshift ML

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Preface
Part 1: Redshift Overview: Getting Started with
Redshift Serveless and an Introduction to
Machine Learning
1
Introduction to Amazon Redshift Serverless
¡¤
¡¤
[Áß·«]
¡¤
¡¤
Probabilities
Using SageMaker Autopoilot notebooks
Summary
Index
Other Books You May Enjoy

ÀúÀÚ¼Ò°³

Panda, Debu [Àú] ½ÅÀ۾˸² SMS½Åû
»ý³â¿ùÀÏ -

Debu Panda, a Senior Manager, Product Management at AWS, is an industry leader in analytics, application platform, and database technologies, and has more than 25 years of experience in the IT world. Debu has published numerous articles on analytics, enterprise Java, and databases and has presented at multiple conferences such as re: Invent, Oracle Open World, and Java One. He is lead author of the EJB 3 in Action (Manning Publications 2007, 2014) and Middleware Management (Packt, 2009).

Bates, Phil [Àú] ½ÅÀ۾˸² SMS½Åû
»ý³â¿ùÀÏ -

Phil Bates is a Senior Analytics Specialist Solutions Architect at AWS. He has more than 25 years of experience implementing large-scale data warehouse solutions. He is passionate about helping customers through their cloud journey and leveraging the power of ML within their data warehouse.

Pittampally, Bhanu [Àú] ½ÅÀ۾˸² SMS½Åû
»ý³â¿ùÀÏ -

Bhanu Pittampally is Analytics Specialist Solutions Architect at Amazon Web Services. His background is in data and analytics and is in the field for over 16 years. He currently lives in Frisco, TX with his wife Kavitha and daughters Vibha and Medha.

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