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Supervised learning makes use of labeled datasets to categorize or make predictions; this calls for some kind of human intervention to label input facts the right way. In contrast, unsupervised learning doesn’t involve labeled datasets, and as an alternative, it detects styles in the data, clustering them by any distinguishing qualities. Reinforc