November 2018
Intermediate to advanced
300 pages
7h 42m
English
Supervised learning is the key concept behind such amazing things as voice recognition, email spam filtering, and face recognition in photos, and detecting credit card frauds. More formally, given a set, D, of learning examples described with features, X, the goal of supervised learning is to find a function that predicts a target variable, Y. The function, f ,that describes the relation between features X and class Y is called a model:

The general structure of supervised learning algorithms is defined by the following decisions (Hand et al., 2001):