Summary
As you can see, Amazon SageMaker Autopilot makes it easy to build, train, and optimize machine learning models for beginners and advanced users alike.
In this chapter, you learned about the different steps of an Autopilot job, and what they mean from a machine learning perspective. You also learned how to use both the SageMaker Studio GUI and the SageMaker SDK to build a classification model with minimal coding. Then, we dived deep on the auto-generated notebooks, which give you full control and transparency over the modeling processing. In particular, you learned how to run the Candidate Generation notebook manually, in order to replay all steps involved.
In the next chapter, you will learn how to use the built-in algorithms in Amazon SageMaker to train models for a variety of machine learning problems.
