Unsupervised Learning

An ML approach where the AI agent is trained on data without explicit labels.

The agent identifies hidden patterns and relationships within the data, often used for clustering, anomaly detection, or data compression.

This technique is valuable when labeled data is scarce but insight into underlying structures is needed.