J. Nathan Kutz

J. Nathan Kutz is the Robert Bolles and Yasuko Endo Professor of Applied Mathematics, Adjunct Professor of Physics and Electrical Engineering, and Senior Data Science Fellow with the eScience Institute at the University of Washington.

Ebooks

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

Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems

Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control, Edition 2

Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data

Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data

Model Order Reduction and Applications: Cetraro, Italy 2021