Supervised learning learns from labeled examples: regression for a numeric value, classification for a category. Unsupervised learning looks for structure without labels, such as clustering or dimensionality reduction. Reinforcement learning learns through rewards over the course of interactions.
Example
Predicting a price: supervised (regression). Grouping customers: unsupervised.