Supervised learning is a type of machine learning where the algorithm learns from labeled data. This means that the training data you provide to the algorithm includes both the input data and the correct output or "label" for that data. The algorithm's goal is to learn a mapping between the inputs and the outputs so that it can accurately predict the output for new, unseen input data.