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AI Glossary

Unsupervised Learning

What is Unsupervised Learning?

A machine learning approach in which a model learns patterns from data without labelled examples. Unsupervised learning techniques include clustering, dimensionality reduction, and generative modeling. Pre-training large language models on unlabelled text is a form of unsupervised learning — the model learns language structure without explicit right-or-wrong labels.

Example in practice

A business analyst who uses AI to automatically cluster thousands of customer support tickets into thematic groups — without providing labelled examples first — is applying unsupervised learning to find patterns in unstructured data.

Learn more

See Unsupervised Learning applied in a professional context through this free course.

AI Fundamentals for Professionals