Automated Machine Learning or AutoML is a new approach to machine learning development.
AutoML tools, such as Google Cloud AutoML, H2O.ai, Auto-sklearn, and DataRobot, simplify and accelerate predictive model development.
AutoML automates end-to-end machine learning workflows, including data preprocessing, feature engineering, and model selection.
It eliminates the need for manual feature, algorithm, and hyperparameter selection, making it easier for businesses and non-experts to discover insights and implement models.