Supervised learning uses labeled data to train models, allowing them to make predictions based on input-output pairs. Unsupervised learning, on the other hand, deals with data without labels, focusing on…
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#unsupervised learning
Can you explain the difference between supervised and unsupervised learning in machine learning and provide an example of each?
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Can you explain the difference between supervised and unsupervised learning in machine learning?
Supervised learning uses labeled data to train models, where the output is known, while unsupervised learning deals with unlabeled data, aiming to find patterns or groupings without explicit outcomes.
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