Summary

In this chapter, we introduced the machine learning problem framing approach, and explored some of the motivation behind adopting this framework.

We introduced the stock market prediction machine learning platform and our initial set of prediction problems using the ML problem framing methodology.

We briefly introduced in this chapter the use case of a stock market prediction basic pipeline that will be used in the rest of the book. 

In the next chapter, we will focus on creating a data science development environment with MLflow using the definitions of the problem made in this chapter.