Supervised Learning
Learning from examples that come with the right answer attached.
In supervised learning each training example is a pair: an input and its label. The model predicts, compares against the label, and corrects itself. It is the most common and most reliable setup, and its main constraint is that labels are expensive to produce.
In practice: 10,000 emails each tagged spam or not-spam, used to train a filter.