All terms
Foundations
Supervised Learning
Training a model on examples that each come with the correct answer (a label).
Definition
Supervised learning trains a model on data where each example comes with the correct answer, or label. The model learns a mapping from inputs to outputs by minimizing a loss that measures prediction error, then generalizes to new, unlabeled inputs. Common tasks are classification (predicting a category) and regression (predicting a number). Most production ML systems are trained this way.