Unsupervised Learning
AI/ML Fundamentals
Finding patterns in unlabeled data
What is Unsupervised Learning?
Learning from data without labels. The algorithm discovers hidden patterns, structures, or clusters on its own.
Real-World Examples
- •Customer segmentation
- •Anomaly detection
- •Topic modeling
- •Data compression
When to Use This
When exploring data without predefined categories or looking for hidden patterns
Related Terms
Learn more about concepts related to Unsupervised Learning