It's useful to approach these as toy problems. It's much easier to test and understand what's going on with a simple problem before applying to complex problems.

As an example, being able to model XOR with machine learning is a common intro exercise, since it shows the limitations of basic methods and the necessity for non-linear models. Obviously in real life you would just use XOR itself.