Question: What is the main difference between supervised and unsupervised learning?

Options:

1. Supervised learning uses labeled data, unsupervised does not
2. Unsupervised learning is faster than supervised learning
3. Supervised learning is only for classification tasks
4. Unsupervised learning requires more data

Correct Answer: Supervised learning uses labeled data, unsupervised does not

Solution:

The main difference is that supervised learning uses labeled data for training, while unsupervised learning works with unlabeled data.