What is the difference between supervised learning and unsupervised learning?
Answer
Supervised learning relies on labeled datasets, and each training sample comes with a label or output. The algorithm learns a mapping function that can predict the output, including new, unseen inputs.
Unsupervised learning works with unlabeled Data. The algorithm aims to find hidden patterns or structures within the data.
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