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AI Glossary
Unsupervised Learning
Unsupervised learning is a machine learning method where AI systems identify patterns in data without being given correct answers.
Overview
Unsupervised learning allows models to analyze data and discover hidden structures, relationships, and groupings.
Unlike supervised learning, the training data does not include labels or known outcomes.
Why It Matters
Many organizations have large amounts of unlabeled data. Unsupervised learning helps uncover insights without requiring costly manual labeling.
Real-World Example
Customer segmentation systems that group customers with similar purchasing behaviors.
Related Concepts
- Machine Learning
- Supervised Learning
- Clustering
- Data Mining
- Training Data