Machine Learning
Lesson 1 of 4 9 min +90 XP

Supervised vs Unsupervised

Two ways a model learns from data.

What you'll learn

  • Distinguish the two paradigms
  • Tell classification from regression
  • Match task to method
Flashcards versus sorting a junk drawer

Learn with flashcards — question, answer, question, answer — and you're doing supervised learning, given the right labels. Dump out a junk drawer and group similar items with no labels at all, and that's unsupervised learning finding its own patterns.

Labels or no labels

Supervised learning trains on labeled examples (input → correct answer). Unsupervised learning finds structure in unlabeled data, such as clusters.

  • Classification — predict a category (supervised)
  • Regression — predict a number (supervised)
  • Clustering — group similar items (unsupervised)

Knowledge Check

+20 XP / correct

1. Predicting a house price from features is…

2. Grouping data with no labels is…