Learning decision trees

Having defined the model, we now need an algorithm to estimate it from data. For a Decision Tree, this is a simple greedy algorithm.

Classification and regression trees (CART)

A quick introduction to a very simple but widely-applicable model that can perform classification (predicting a discrete label) or regression (predicting a continuous value). The tree is learned from labelled data, using supervised learning. Before watching this video, you might want to check that you understand what Entropy is.