Data-Driven Science and Engineering

Data-Driven Science and Engineering
Author :
Publisher : Cambridge University Press
Total Pages : 615
Release :
ISBN-10 : 9781009098489
ISBN-13 : 1009098489
Rating : 4/5 (489 Downloads)

Book Synopsis Data-Driven Science and Engineering by : Steven L. Brunton

Download or read book Data-Driven Science and Engineering written by Steven L. Brunton and published by Cambridge University Press. This book was released on 2022-05-05 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

Data-Driven Science and Engineering Related Books

Data-Driven Science and Engineering
Language: en
Pages: 615
Authors: Steven L. Brunton
Categories: Computers
Type: BOOK - Published: 2022-05-05 - Publisher: Cambridge University Press

GET EBOOK

A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.
Data Driven e-Science
Language: en
Pages: 526
Authors: Simon C. Lin
Categories: Computers
Type: BOOK - Published: 2011-02-04 - Publisher: Springer Science & Business Media

GET EBOOK

ISGC 2010, The International Symposium on Grid Computing was held at Academia Sinica, Taipei, Taiwan, March, 2010. The 2010 symposium brought together prestigio
Applied Data Science
Language: en
Pages: 465
Authors: Martin Braschler
Categories: Computers
Type: BOOK - Published: 2019-06-13 - Publisher: Springer

GET EBOOK

This book has two main goals: to define data science through the work of data scientists and their results, namely data products, while simultaneously providing
Data-Driven Modeling & Scientific Computation
Language: en
Pages: 657
Authors: Jose Nathan Kutz
Categories: Computers
Type: BOOK - Published: 2013-08-08 - Publisher:

GET EBOOK

Combining scientific computing methods and algorithms with modern data analysis techniques, including basic applications of compressive sensing and machine lear
Machine Learning Control – Taming Nonlinear Dynamics and Turbulence
Language: en
Pages: 229
Authors: Thomas Duriez
Categories: Technology & Engineering
Type: BOOK - Published: 2016-11-02 - Publisher: Springer

GET EBOOK

This is the first textbook on a generally applicable control strategy for turbulence and other complex nonlinear systems. The approach of the book employs power