Unsupervised Learning

Learning is unsupervised when AI algorithms are given unlabeled data and must make sense of it without any instruction. Such machines “teach themselves” what result to produce. The algorithm looks for structure in the training data, like finding which examples are similar to each other and grouping them into clusters.

Unsupervised Learning is used for clustering, association, anomaly detection, and recommendation engines.