[https://cloud.google.com/automl|AutoML]]

Train high-quality custom machine learning models with minimal effort and machine learning expertise.

AutoML enables developers with limited machine learning expertise to train high-quality models specific to their business needs. Build your own custom machine learning model in minutes.

[[https://cloud.google.com/vertex-ai/docs/start/automl-model-types|AutoML model types]]

[[https://www.techtarget.com/searchenterpriseai/definition/automated-machine-learning-AutoML|automated machine learning (AutoML)]]

Automated machine learning (AutoML) is the process of applying machine learning (ML) models to real-world problems using automation. More specifically, it automates the selection, composition and parameterization of machine learning models. Automating the machine learning process makes it more user-friendly and often provides faster, more accurate outputs than hand-coded algorithms.

AutoML software platforms make machine learning more user-friendly and give organizations without a specialized data scientist or machine learning expert access to machine learning. These platforms can be acquired from a third-party vendor, accessed through open source repositories like GitHub or built in-house.