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 MATLABĀ®.


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

DOWNLOAD EBOOK

A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLABĀ®.
Perspectives on Data Science for Software Engineering
Language: en
Pages: 410
Authors: Tim Menzies
Categories: Computers
Type: BOOK - Published: 2016-07-14 - Publisher: Morgan Kaufmann

DOWNLOAD EBOOK

Perspectives on Data Science for Software Engineering presents the best practices of seasoned data miners in software engineering. The idea for this book was cr
Data Science in Engineering and Management
Language: en
Pages: 159
Authors: Zdzislaw Polkowski
Categories: Technology & Engineering
Type: BOOK - Published: 2021-12-31 - Publisher: CRC Press

DOWNLOAD EBOOK

This book brings insight into data science and offers applications and implementation strategies. It includes current developments and future directions and cov
Foundations of Data Science for Engineering Problem Solving
Language: en
Pages: 125
Authors: Parikshit Narendra Mahalle
Categories: Technology & Engineering
Type: BOOK - Published: 2021-08-21 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book is one-stop shop which offers essential information one must know and can implement in real-time business expansions to solve engineering problems in
Data Science
Language: en
Pages: 282
Authors: John D. Kelleher
Categories: Computers
Type: BOOK - Published: 2018-04-13 - Publisher: MIT Press

DOWNLOAD EBOOK

A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues,