Unsupervised learning is a type of machine learning where an AI model is trained on data without labelled outputs. The model identifies patterns, relationships, or structures within the data on its own.
Example: Clustering customers into groups based on purchasing behaviour without being told what the groups represent.
Unsupervised learning is often used for tasks like data exploration, anomaly detection, and segmentation.