Unsupervised machine learning is a branch of artificial intelligence that analyzes unlabeled datasets to discover hidden patterns, groupings, or anomalies without human intervention. In industrial engineering, it is widely used to detect operational anomalies and predict equipment failures based on complex, multi-variable sensor inputs.