Machine Learning for the Physical Sciences: Fundamentals and Prototyping with Julia

Author:   Carlo Requião da Cunha
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032395234


Pages:   266
Publication Date:   11 December 2023
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Machine Learning for the Physical Sciences: Fundamentals and Prototyping with Julia


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Author:   Carlo Requião da Cunha
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.530kg
ISBN:  

9781032395234


ISBN 10:   1032395230
Pages:   266
Publication Date:   11 December 2023
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Carlo R. da Cunha is currently an assistant professor at the School of Informatics, Computing, and Cyber Systems at Northern Arizona University. He holds a Ph.D. degree in electrical engineering from Arizona State University. Throughout his career, Dr. da Cunha has held various academic positions and research affiliations in institutions such as McGill University, Chiba University, and the Technical University of Vienna. His research focuses on computational science, where he applies machine learning techniques to the design of innovative electronic devices and systems.

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