Supervised learning · with a teacher

🗂️ Classification — Supervised Learning

This is Supervised Learning: a teacher first shows the computer lots of examples that are already labelled. It learns a boundary between the two groups. Then, for something brand-new, it decides which side it's on. Try all five problems below — same idea, different data!

Pick a problem

🤖 In a real AI — this is “supervised” learning Every one of these needs a teacher who first labels the examples (healthy / junk, cat / dog, grow / wilt, spam / not-spam…). The model learns the boundary, then labels new things by which side they fall on. Real models use many features (not just 2) and can draw curvy boundaries — but the idea is exactly this.

Practice 🎯

Next lab → 🪄 Clustering