What is supervised learning approach in training AI models?

Supervised learning is an approach in which the machine learning model is trained on a set of data that has already been labelled. By matching the labels with the data, the algorithm learns to find patterns and relationships. After training, the model can predict an output for new, unseen input data. For example, a spam email predictor is trained on a labelled collection of emails (spam or not spam) to classify new incoming emails.