Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control - Hardcover

Brunton, Steven L.; Kutz, J. Nathan

Hardcover

ISBN 10: 1009098489 ISBN 13: 9781009098489

Verlag: Cambridge University Pr., 2022

Inhaltsangabe

A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB(R).

Über diesen Titel

Über die Autorin bzw. den Autor

Steven L. Brunton is the James B. Morrison Professor of Mechanical Engineering at the University of Washington and Associate Director of the NSF AI Institute in Dynamic Systems. He is also Adjunct Professor of Applied Mathematics and Computer Science and a Data-Science Fellow at the eScience Institute. His research merges data science and machine learning with dynamical systems and control, with applications in fluid dynamics, biolocomotion, optics, energy systems, and manufacturing. He is an author of three textbooks, and received the UW College of Engineering Teaching award, the Army and Air Force Young Investigator Program (YIP) awards, and the Presidential Early Career Award for Scientists and Engineers (PECASE) award.

Details zur Ausgabe

• Verlag: Cambridge University Pr.
• Erscheinungsdatum: 2022
• Sprache: Englisch
• ISBN 10: 1009098489
• ISBN 13: 9781009098489
• Einband: Gebundene Ausgabe
• Auflage: 2
• Anzahl der Seiten: 590
• Kontakt zum Hersteller: preigu GmbH & Co. KG; mail@preigu.de; ; Lengericher Landstr. 19; Osnabrück; Niedersachsen; 49078; Deutschland