Machine Learning

What is supervised learning?

Supervised learning fits a model using examples paired with targets.

✳ Beginner◷ 3 short lessons · learn at your paceTEXT-BASED LEARNING

Before you dive in: outcomes & prerequisites

No AI experience required. Start with the simple explanation.

A beginner learning path: understand the idea, follow an everyday example and check your understanding. Read the three lessons in order.

Start here · beginner

03 · Practise and check

Your turn

Write six labelled messages. Reserve two for testing before making a rule or choosing a model.

Answer check

The reserved messages provide a small check on unseen data. Six examples are far too few to establish production reliability, but they help demonstrate the workflow.

Explain it to a friend

Give a second example from college, a hobby or a fictional workplace. State what information goes in, what comes out and one limitation. If you can explain those three things in plain language, you are ready to move on. Mark this lesson as read to save your progress when signed in.

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