Definition #
Models learn by mapping input data to known output labels.
Key Characteristics #
- Requires labeled data
- Classification/regression tasks
- Performance metrics (e.g., accuracy)
Why It Matters #
Used for spam detection, image recognition, and sales forecasting.
Examples #
- Email spam filters
- Medical diagnosis systems