by Michele Laurelli
A machine learning paradigm where models find patterns in unlabeled data without explicit supervision.
Unsupervised learning discovers hidden structures, patterns, or representations in data without labels. Common techniques include clustering, dimensionality reduction, and anomaly detection.
Customer segmentation
Topic modeling
Anomaly detection