Machine learning can be divided into many subcategories; two broad categories are supervised and unsupervised learning. These categories contain some of the most popular and widely used machine learning methods. In this section, we present them, as well as some toy example uses of supervised and unsupervised learning.
Supervised and unsupervised learning
Supervised learning
In examples such as those in the previous section, the data consisted of some features and a target; no matter whether the target was quantitative (regression) or categorical (classification). Under these circumstances, we call the dataset a labeled dataset. When we try to produce a model from a labeled dataset in order to make predictions about unseen...
