Reviewed by:
Gary Miller
Unsupervised learning is a type of machine learning where the model learns patterns and structures in data without any specific guidance or labeled examples. It can be used to discover hidden patterns, group similar items, and perform tasks like clustering, anomaly detection, and dimensionality reduction.