AutoML — Automated Machine Learning
Definition: Tools that automate model selection, feature engineering, and hyperparameter tuning. AutoML closes the gap between "we have data" and "we have a working model" for teams without a full ML org.
Example
An AutoML run produced a churn model in 90 minutes that beat the data scientist's baseline from two weeks of manual work.
When you'll hear it
AutoML shows up most often in AI strategy reviews, model evaluation discussions, and product roadmap meetings. When someone uses it, they're usually referring to automated machine learning — and they expect the room to already know what that means.
FAQs
What does AutoML stand for?
AutoML stands for Automated Machine Learning.
What does AutoML mean in AI and machine-learning?
Tools that automate model selection, feature engineering, and hyperparameter tuning. AutoML closes the gap between "we have data" and "we have a working model" for teams without a full ML org.
Where will I hear AutoML used at work?
AutoML comes up most often in AI strategy reviews, model evaluation discussions, and product roadmap meetings. It's used as shorthand for automated machine learning, so people assume you already know the term.
Related terms
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