AI Glossary

Supervised Learning

Supervised learning is a machine learning method where models learn from labeled examples containing both inputs and correct answers.

Overview

Supervised learning trains AI systems using datasets that contain known outputs. The model learns patterns that allow it to make predictions on new data.

This is one of the most widely used machine learning approaches.

Why It Matters

Many practical AI applications rely on supervised learning because it can achieve high accuracy when quality labeled data is available.

It powers systems used for prediction, classification, and recommendation tasks.

Real-World Example

Email spam filters trained using examples of spam and non-spam messages.

Related Concepts

Machine Learning
Unsupervised Learning
Reinforcement Learning
Neural Networks
Training Data