Machine Learning Basics
How machine learning works at a conceptual level: show the computer many examples, it finds patterns, then it makes predictions about new things; hands-on experience with Teachable Machine or similar tool
Typical age: 7–9 years
“Could your child describe how you teach a computer to recognise something — by showing it lots of examples until it spots the pattern?”
0 / 3 mastered
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Needs first
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- Bias in AI SystemsREQUIRED
Must understand training process before grasping how biased data creates biased AI
- AI Mistakes and LimitationsREQUIRED
Must understand how training works before understanding why it can go wrong
- Humans Versus MachinesREQUIRED
Must understand how machines learn before meaningfully comparing human vs machine capabilities
- Deepfakes and AI-Generated Content
Understanding training helps grasp how AI generates realistic content
- AI and the EnvironmentREQUIRED
Must understand training requires computation before grasping its environmental cost