Part 33 of 45 in AI Foundations: From Curious to Confident
Learning with Labels
In supervised learning, AI learns from examples that already have the right answers.
Show the AI many photos labelled 'cat' or 'dog' and it learns the difference. Next time it sees a new photo, it can guess correctly. Learning from labelled examples is called supervised learning.
The key ideas
- Supervised learning uses labelled examples.
- The AI learns the link between input and answer.
- Then it predicts labels for new data.
Why it matters
Supervised Learning is one small piece of a much bigger picture. Once you can spot it in the world around you, the rest of Artificial Intelligence starts to make far more sense — each idea builds on the last, from everyday examples up to how the technology actually works under the hood.
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