Supervised learning is a core machine learning paradigm concerned with inferring a function that maps input data to output labels. This is achieved by training a model on a labeled dataset, which consists of input examples paired with their corresponding correct outputs, enabling the model to learn patterns and generalize to predict outputs for novel, unseen data.