Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Data-Driven Science and Engineering

Data-Driven Science and Engineering

Brunton, Steven L.
Kutz, J. Nathan

Hardcover

Technology & EngineeringGeneral Computers

ISBN10: 1009098489
ISBN13: 9781009098489
Publisher: Cambridge University Press
Published: May 5 2022
Pages: 614
Weight: 3.10
Height: 1.10 Width: 7.10 Depth: 10.10
Language: English
Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MATLAB(R), this textbook trains mathematical scientists and engineers for the next generation of scientific discovery by offering a broad overview of the growing intersection of data-driven methods, machine learning, applied optimization, and classical fields of engineering mathematics and mathematical physics. With a focus on integrating dynamical systems modeling and control with modern methods in applied machine learning, this text includes methods that were chosen for their relevance, simplicity, and generality. Topics range from introductory to research-level material, making it accessible to advanced undergraduate and beginning graduate students from the engineering and physical sciences. The second edition features new chapters on reinforcement learning and physics-informed machine learning, significant new sections throughout, and chapter exercises. Online supplementary material - including lecture videos per section, homeworks, data, and code in MATLAB(R), Python, Julia, and R - available on databookuw.com.

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