There are three broad categories of machine learning, as follows:
- Supervised learning: Here, an algorithm is fed a set of inputs and their corresponding outputs. The algorithm then has to figure out what the output will be for an unseen input. Supervised learning algorithms try to learn the patterns in the input features and target output in such a way that the learned model can predict the output for the new unseen data. Classification and regression are two kinds of problem that are solved using a supervised learning approach, in which the machine learning algorithm learns from the given data and labels. Classification is a process that classifies the given unseen data into one of the predefined sets of classes, ...