As addressed in Chapter 1, the primary Machine Learning applications that require supervised learning are classification and regression. Classification is used to determine the group the data belongs. Some typical applications of classification are spam mail filtering and character recognition. In contrast, regression infers values from the data. It can be exemplified with the prediction of income for a given age and education level.
Although the neural network
is applicable to both classification and regression, it is seldom used for regression. This is not because it yields poor performance, ...
