Unsupervised Learning

un-SOO-per-vyzd LER-ning /ʌnˈsuːpəvaɪzd ˈlɜːnɪŋ/

A machine learning approach that finds structure in data without labelled answers. The system groups similar items, detects clusters or reduces complexity to reveal patterns. Unsupervised learning is useful for exploration – such as discovering themes in large text collections – but the groupings still need human interpretation to ensure they make sense and avoid misleading conclusions. Source: https://www.digital.nsw.gov.au/policy/artificial-intelligence/a-common-understanding-simplified-ai-definitions-from-leading