In this chapter, we’ll begin the study of supervised learning, a branch of machine learning whose algorithms resemble the type of learning we would have at school where we learn from experience and from many examples introduced by a professor during class or training.
Many supervised learning algorithms are composed of two phases: a training phase where the learner is presented with a set of training data, having each data as a vector along with its correct classification, and a prediction phase where the learner, having learned the function that corresponds ...
