machine learning
🤖 CT-AI
Official ISTQB Definition
A subset of AI where systems learn patterns from data to make predictions or decisions without being explicitly programmed.
3 Ways to Think About It
The Quick Take
AI that improves by learning patterns from data - requiring tests of both the model and its training data.
Look Closer
Systems that learn from examples, so testing must cover data quality, model accuracy, and real-world performance.
The Bottom Line
Software that gets smarter with data, meaning testers must validate what the system learned, not just what it was coded to do.
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