Supervised learning utilizes labeled datasets to categorize or make predictions; this needs some form of human intervention to label input info effectively. In contrast, unsupervised learning doesn’t demand labeled datasets, and as a substitute, it detects designs in the information, clustering them by any distinguishing qualities. Reinforcement
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