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Supervised learning makes use of labeled datasets to categorize or make predictions; this involves some kind of human intervention to label input information accurately. In contrast, unsupervised learning doesn’t require labeled datasets, and as an alternative, it detects patterns in the info, clustering them by any distinguishing qualities. Rein
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