Machine Learning with Swift

Time to practice

In the following sections, we'll dive into machine learning practice, to get a feeling of what it looks like. Just like in a theater play, in machine learning you have a list of characters and a list of acts.

Two main characters are:

• Dataset
• Model

Three main acts are:

• Dataset preparation
• Model training
• Model evaluation

We'll go through all these acts, and by the end of the chapter we'll have our first trained model. First, we need to define a problem, and then we can start coding a prototype in Python. Our destination point is a working model in Swift. Don't take the problem itself too seriously, though, because as the first exercise, we're going to solve a fictional problem.