Supervised learning focuses on feature extraction, while unsupervised learning focuses on model prediction

Unsupervised learning requires a validation set for model evaluation, while supervised learning does not

Supervised learning requires labeled training data, while unsupervised learning does not

Supervised learning uses backpropagation as the main optimization algorithm, while unsupervised learning uses genetic algorithms