SYSTEMS AND METHODS FOR END-TO-END MACHINE LEARNING WITH AUTOMATED MACHINE LEARNING EXPLAINABLE ARTIFICIAL INTELLIGENCE

The present disclosure provides systems and methods for end-to-end machine learning. A method of the present disclosure may comprise one or more operations of data ingestion, data preparation, feature storage, model building, and productionizing by the model. The methods and systems of the present d...

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Bibliographic Details
Main Authors Laszczuk, Lukasz, Wielopolski, Patryk, Kolasa, Bartosz
Format Patent
LanguageEnglish
Published 07.03.2024
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:The present disclosure provides systems and methods for end-to-end machine learning. A method of the present disclosure may comprise one or more operations of data ingestion, data preparation, feature storage, model building, and productionizing by the model. The methods and systems of the present disclosure may use an Automated Machine Learning (AutoML) algorithm and eXplainable Artificial Intelligence (XAI).
Bibliography:Application Number: US202318471790