AutoML

AutoML automates various aspects of the machine learning pipeline, including feature engineering, model selection, hyperparameter optimization, and architecture search. It uses optimization techniques and meta-learning to find the best possible model configuration for a given task.

Automated model development for business analytics, Optimizing industrial process control systems, Streamlining medical image classification pipelines