Answer Posted / Deeksha Jindal

Supervised learning is a type of machine learning where the algorithm learns from labeled data, i.e., data that comes with input-output pairs. The goal is to learn a mapping function from inputs to outputs. In contrast, unsupervised learning algorithms learn from unlabeled data without any explicit output variables. The goal is to find patterns or structures in the data.

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