Automated machine learning is the use of automated methods to design, configure, train, tune, and evaluate machine learning systems. It may include model selection, feature engineering, hyperparameter optimization, pipeline construction, and deployment preparation, with the goal of improving performance or accessibility.
A field of machine learning (ML) which aims to automatically configure an ML system to maximize its performance (e.g, classification accuracy).