Building Your First Machine Learning Model
In the previous chapter, you learned about Redshift Machine Learning (ML) benefits such as eliminating data movement and how models can be created using simple Structured Query Language (SQL) commands.
In this chapter, you are going to build your first machine learning model by using the standard SQL dialect. Amazon Redshift makes it very easy to use familiar SQL dialect to train, deploy, and run inferences against machine learning models. This approach makes it easy for different data personas, for example, database developers, database engineers, and citizen data scientists, to train and build machine learning models without moving data outside of their data warehouse platform and without having to learn a new programming language.
In this chapter, you will learn about using Amazon Redshift ML simple CREATE MODEL, which uses the Amazon SageMaker Autopilot framework behind the scenes, to create your first model. You will also learn...
