Machine Learning Basics
Computing · Artificial Intelligence · conceptual
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
What mastery looks like
- Describe the three steps of machine learning in simple terms (give examples, find patterns, make predictions)
- Train a simple model using a tool like Teachable Machine and describe what happened
- Explain why showing more and better examples makes the model more accurate
Check your understanding
Could Machine Learning Basics describe how you teach a computer to recognise something — by showing it lots of examples until it spots the pattern?
Prerequisites
Required first