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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.

L5 · Machine learning practitionerDevelopersTech leadersQA and testing

Key terms

Model selectionHyperparameter searchAutomated feature engineeringBaseline modelNeural architecture search

Where you meet it in the real world

Quick baselines for tabular prediction, internal forecasting, churn models

Guides and articles