MLOps & Infrastructure · intermediate · concept 216 of 311 · Updated Nov 4, 2026
AutoML
AutoML automates the repetitive parts of building a model: trying algorithms, tuning settings and engineering features. It gets a solid baseline fast and helps teams without many specialists. It does not replace judgment about the problem, the data or whether the result is safe to use, and a model you do not understand is hard to fix when it fails.
Key terms
Model selectionHyperparameter searchAutomated feature engineeringBaseline modelNeural architecture search
Learn these first
Where you meet it in the real world
Quick baselines for tabular prediction, internal forecasting, churn models
Guides and articles
Automated Machine Learning (free book) ↗
Hutter, Kotthoff and Vanschoren
auto-sklearn documentation ↗
auto-sklearn