Amazon Technologies, Inc.

Nick Dean Erickson

Alexander Johannes Smola

Mu Li

Tatsuya Arai

Abhi Vinayaka Sharma

Hang Zhang

Jonas Mueller

Ryan Matthew Brand

Yohei Nakayama

Techniques for code-free automated machine learning (ML) are described. Users can train high-quality ML models and pipelines without necessarily needing to write code by providing a training dataset to a code-free machine learning service. The service may deploy an ML orchestration function and a storage location on behalf of a user. When a modification is made to the storage bucket, such as by the user providing a training dataset, the orchestration function is invoked and can automatically initiate an AutoML process using at least the training data to train multiple ML model variants. The resultant ML model(s) and associated metrics can be provided to the user, deployed behind an endpoint, and/or used to generate inferences.

Code-free automated machine learning

Growing community of inventors

Seattle, WA, United States of America

Nick Dean Erickson