Supervised vs Unsupervised Learning

Summary

Supervised learning trains on labeled data to predict outcomes; unsupervised learning finds structure in unlabeled data — the first fork in the road for choosing an ML approach.

• 1List five real-world problems and classify each as supervised, unsupervised, or unclear.
• 2Learn the sub-categories: classification/regression under supervised, clustering/dimensionality reduction under unsupervised.
• 3Understand semi-supervised and self-supervised learning as the bridge to modern deep learning.