Description: Further DetailsTitle: Data-Driven Science and EngineeringCondition: NewSubtitle: Machine Learning, Dynamical Systems, and ControlEAN: 9781009098489ISBN: 9781009098489Publisher: Cambridge University PressFormat: HardbackRelease Date: 05/05/2022Description: Data-driven discovery is revolutionizing how we model, predict, and 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, 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®, Python, Julia, and R – available on databookuw.com.Language: EnglishCountry/Region of Manufacture: GBItem Height: 259mmItem Length: 183mmItem Width: 31mmItem Weight: 1400gAuthor: J. Nathan Kutz, Steven L. BruntonGenre: Science Nature & MathTopic: Technology & Engineering, Computing & InternetRelease Year: 2022 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Data-Driven Science and Engineering
Title: Data-Driven Science and Engineering
Subtitle: Machine Learning, Dynamical Systems, and Control
EAN: 9781009098489
ISBN: 9781009098489
Release Date: 05/05/2022
Release Year: 2022
Country/Region of Manufacture: GB
Item Weight: 1400g
Genre: Science Nature & Math
Topic: Computing & Internet
Number of Pages: 550 Pages
Language: English
Publication Name: Data-Driven Science and Engineering : Machine Learning, Dynamical Systems, and Control
Publisher: Cambridge University Press
Item Height: 1.2 in
Subject: Engineering (General), General
Publication Year: 2022
Type: Textbook
Subject Area: Computers, Technology & Engineering
Author: J. Nathan Kutz, Steven L. Brunton
Item Length: 10.2 in
Item Width: 7.2 in
Format: Hardcover
