What is the main difference between supervised and unsupervised learning?

Unsupervised learning differs from supervised learning primarily in its use of data. Supervised learning relies on labeled data (data with known output labels), while unsupervised learning works with unlabeled data to find patterns or structures independently.

The correct option is:

• c) Unsupervised learning works without output labels and finds patterns on its own.

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