Answer Posted / Naresh Singh Mehra

Supervised learning involves training a model on labeled data (input-output pairs) to make predictions. Unsupervised learning deals with unlabeled data, where the goal is to find hidden patterns or structure in the data. Reinforcement learning is an interactive learning approach in which an agent learns to perform actions in an environment by receiving feedback in the form of rewards and penalties.

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