Unsupervised Learning
/ˌʌnsupərˈvaɪzd ˈlɜːrnɪŋ/
A machine learning paradigm where models find patterns in unlabeled data without explicit supervision.
In italiano: Apprendimento Non SupervisionatoUnsupervised learning discovers hidden structures, patterns, or representations in data without labels. Common techniques include clustering, dimensionality reduction, and anomaly detection.
Examples
- Customer segmentation
- Topic modeling
- Anomaly detection