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

Description: Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, an... PRODUCT DESCRIPTION Data driven discovery is revolutionizing how we model, predict. control complex systems. Now with Python and MATLAB®, 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. 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. 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. chapter exercises. Online supplementary material including lecture videos per section, homeworks, data. code in MATLAB®, Python, Julia. R available on databookuw.com. © Copyright . All rights reserved.

Price: 80.99 USD

Location: Chelmsford

End Time: 2024-12-08T07:09:05.000Z

Shipping Cost: 4.99 USD

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

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

MPN: 9781009098489

Number of Pages: 550 Pages

Language: English

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

Publisher: Cambridge University Press

Subject: Engineering (General), General

Item Height: 1.2 in

Publication Year: 2022

Item Weight: 48.1 Oz

Type: Textbook

Item Length: 10.2 in

Author: J. Nathan Kutz, Steven L. Brunton

Subject Area: Computers, Technology & Engineering

Item Width: 7.2 in

Format: Hardcover

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