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
Product Images
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
