Automated Machine Learning (AutoML) Glossary Definition

AutoML is a machine-learning service family from Google Cloud for training custom models with managed workflows.

AutoML can speed experimentation for common prediction tasks, but teams still need to understand data quality, leakage, metrics, fairness, deployment constraints, and operational monitoring.

Teams use AutoML capabilities to build models for vision, language, tabular, and other tasks when they need customization without managing all model-training infrastructure.