What is Supervised Learning?

Supervised Learning is a machine learning approach where models are trained on labeled data—input examples paired with correct output answers. The algorithm learns to map inputs to outputs by studying these examples, adjusting its parameters to minimize errors between its predictions and the known correct answers. This method is widely used for tasks like image classification, spam detection, and speech recognition, where large datasets of labeled examples are available to teach the model.