What differentiates supervised learning from unsupervised learning in machine learning contexts?

Question $41$ options:

Supervised learning cannot handle classification and regression problems.

Supervised learning algorithms learn from labeled data to predict outcomes for new data.

Supervised learning uses unlabeled data, while unsupervised does not.

Unsupervised learning uses labeled data, while supervised does not.

Unsupervised learning requires more computational power than supervised learning.