Supervised learning uses labeled data to predict outcomes. Regression predicts continuous values; classification predicts categories. Unsupervised learning finds patterns without labels.
Clustering groups similar data; dimensionality reduction (like PCA) compresses features. In finance, supervised learning predicts returns; unsupervised learning identifies market regimes. Know when to apply each.