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Artificial Intelligence Interview Question

A frequently asked question in AI interviews is:

Explain the difference between supervised and unsupervised learning and provide examples of each.

In supervised learning, the algorithm learns from labeled data with input-output pairs. Examples include classification and regression tasks. On the other hand, unsupervised learning involves learning from unlabeled data, where the model identifies patterns and structures. Clustering and association tasks are examples of unsupervised learning.

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