Definition: Learning from labeled data (input-output pairs).
Examples:
Email Spam Detection:
Input: Emails (features like subject, content).
Output: Label (spam or not spam).
Goal: Classify incoming emails as spam or not spam.
House Price Prediction:
Input: Features (size, location, number of rooms).
Output: Predicted house price.
Goal: Estimate property value based on historical data.
Face Recognition:
Input: Facial features from images.
Output: Person's identity.
Goal: Match a face with a labeled database.
Definition: Learning patterns from unlabeled data.