Supervised learning task that predicts a continuous numeric value. The output is a number, not a category. Used for quantitative predictions.
In AI-901: examples include predicting a house price, tomorrow's temperature, or next month's sales. Key difference from classification: regression outputs a continuous number, classification outputs a discrete category.
Regression (ML) is a concept that can show up on the exam. Check the full guide to see it in context.