Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
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J. Nathan Kutz is the Robert Bolles and Yasuko Endo Professor of Applied Mathematics and Electrical and Computer Engineering at the University of Washington and Director of the NSF AI Institute in Dynamic Systems. He is also Adjunct Professor of Mechanical Engineering and Senior Data-Science Fellow at the eScience Institute. His research interests lie at the intersection of dynamical systems and machine learning.
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