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.
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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Can you explain the difference between supervised and unsupervised learning in machine learning?
COVER // CAN YOU EXPLAIN THE DIFFERENCE BETWEEN SUPERVISED AND UNSUPERVISED LEARNING IN MACHINE LEARNING?
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