Supervised learning deals with data that have no labels, while unsupervised learning has labeled data.

Supervised learning uses labeled data to train models, while unsupervised learning uses unlabeled data to discover patterns.

Supervised learning is only for image recognition, while unsupervised learning is only for text classification.

Supervised learning always creates clusters, while unsupervised learning always creates predictions.