Supervised learning is a type of machine learning where an AI model is trained using labelled data. The model learns to make predictions or classify data by finding patterns between inputs and their corresponding outputs.
Example: Training an AI to recognize emails as “spam” or “not spam” using a dataset where each email is already labelled.
Supervised learning is widely used for tasks like image recognition, fraud detection, and sentiment analysis.