Unsupervised Learning
Finding structure in data without labels.
Unsupervised learning discovers patterns — clusters, lower-dimensional structure, or distributions — in data that has no labels. Clustering and dimensionality reduction are classic examples, and it is closely related to the self-supervised pretraining of modern models.