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Serverless Machine Learning with Amazon Redshift ML
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Reaping the benefits of machine learning across an organization requires access to data, easy-to-use tools, and built-in algorithms that anyone can use no matter their level of experience with machine learning.
Part 1 shows how easy it is to get started with Amazon Redshift Serverless and Amazon Redshift ML without having to manage data warehouse infrastructure.
By the end of Part 1, you will know how to run queries using Query Editor v2 notebooks and different techniques for loading data into Amazon Redshift Serverless. You will then be introduced to machine learning and gain an understanding of how you can use machine learning in your data warehouse.
This part comprises the following chapters: