Supervised learning is typically done in the context of classification, when we want to map input to output labels, or regression, when we want to map input to a continuous output.

What is supervised learning used for?

Supervised learning, also known as supervised machine learning, is a subcategory of machine learning and artificial intelligence. It is defined by its use of labeled datasets to train algorithms that to classify data or predict outcomes accurately.

Is a common example of supervised learning?

Some popular examples of supervised machine learning algorithms are: Linear regression for regression problems. Random forest for classification and regression problems. Support vector machines for classification problems.