2.4 Quiz

Supervised learning works on data that has no labels, while unsupervised learning is the one that needs labeled data.

Supervised learning applies only to image recognition, while unsupervised learning applies only to text classification.

Supervised learning trains on labeled examples, while unsupervised learning finds structure in unlabeled data.

Supervised learning always produces clusters, while unsupervised learning always produces numeric predictions.