Machine Learning for Engineers: Introduction to Physics-Informed, Explainable Learning Methods for AI in Engineering Applications
Author:   Marcus J. Neuer
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2024 ed.
ISBN:  

9783662699942


Pages:   241
Publication Date:   30 November 2024
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Machine Learning for Engineers: Introduction to Physics-Informed, Explainable Learning Methods for AI in Engineering Applications


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Author:   Marcus J. Neuer
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2024 ed.
ISBN:  

9783662699942


ISBN 10:   366269994
Pages:   241
Publication Date:   30 November 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.
Language:   German

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Dr. Marcus J. Neuer has developed machine learning and explainable artificial intelligence for usable, profitable applications in various research and industry projects. He leads the research and development department at innoRIID GmbH and teaches at RWTH Aachen as well as the University of Applied Sciences for Business, FHDW. His algorithms are successfully used today in various products, including in the fields of nuclear safety and the process industry.      

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