What is the main difference between supervised and unsupervised learning?
- The algorithms used
- The complexity of the models
- The data size
- The use of labeled data
Supervised learning uses labeled data where the output is known, while unsupervised learning deals with unlabeled data and finds hidden patterns without guidance on the expected outcome.
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