Supervised Learning

Supervised learning is a type of machine learning where the AI is trained using labeled data. This means the training data already has the correct answers. For example, if you're teaching an AI to recognize apples and oranges, you would give it many pictures labeled "apple" or "orange" so it can learn to tell them apart.

Once the AI sees enough examples, it learns to make predictions on its own when given new, unlabeled data. Supervised learning is widely used in things like email spam detection, medical diagnosis tools, and voice recognition systems. It is one of the most common and effective ways to train AI.