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AI & Machine Learning · Foundational

Supervised Learning

Machine learning that trains a model on labeled examples, where each input is paired with the correct output.

Definition

In supervised learning the algorithm learns a mapping from features to a known target by minimizing the error between its predictions and the labels. The two main task types are classification (discrete labels) and regression (continuous values). Quality and quantity of labeled data largely determine performance.

Example

Predicting house prices from square footage and location using historical sales is supervised regression.

Exam tip

If the scenario mentions historical data with known outcomes, the answer is supervised learning.

Don't confuse it with

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