Summary
In this chapter, we've described the concept of ML, the steps in an ML life cycle, and how to approach a business problem with an ML mindset. We also talked about the basics of cloud computing, the role it plays in ML development, and the core services on Amazon Web Services. Lastly, we created an AWS account and set up a user for us to use throughout the fun ride in this book.
In the next chapter, we will learn Amazon SageMaker Studio and its component from a high-level point of view. We will see how each component is mapped to the ML life cycle that we learned in this chapter and will set up our Amazon SageMaker Studio environment together.
