In this chapter, we have covered the simplest but still very practical machine learning models in an eminently practical way to get us started on the complexity scale.
In the following chapter, where we will cover several regression techniques, it will be time to go and solve a new type of problem that we have not worked on, even if it's possible to solve the problem with clustering methods (regression), using new mathematical tools for approximating unknown values. In it, we will model past data using mathematical functions, and try to model new output based on those modeling functions.
