Hyland UK Operations Limited

Andrei Nechaev

Tiago Filipe Dias Cardoso

Pedro Miguel Dias Cardoso

Gethin Paul James

Isabel Maria Malheiro De Oliveira Novais Machado

Various embodiments are generally directed to techniques for intuitive machine learning (ML) development and optimization, such as for application in a content services platform (CSP), for instance. Many embodiments include a ML model developer and a ML model evaluator to provide a graphical user interface that guides ML layman in developing, evaluating, implementing, managing, and/or optimizing ML models. Some embodiments are particularly directed to a common interface that provides a step-by-step user experience to develop and implement ML techniques. For example, embodiments may include computing a health score for various aspects of developing and/or optimizing ML models, and using the health score, and the factors contributing thereto, to guide production of a valuable ML model. These and other embodiments are described and claimed.

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Brooklyn, NY, United States of America

Andrei Nechaev