HANDBOOK ON BIG DATA AND MACHINE LEARNING IN THE PHYSICAL SCIENCES (IN 2 VOLUMES) (World Scientific Series on Engineering Technologies, 1) - Hardcover

Editor-in-chief: Sergei V Kalinin; Editor-in-chief: Ian Foster

 
9789811204449: HANDBOOK ON BIG DATA AND MACHINE LEARNING IN THE PHYSICAL SCIENCES (IN 2 VOLUMES) (World Scientific Series on Engineering Technologies, 1)
Hardcover
ISBN 10: 9811204446 ISBN 13: 9789811204449
Publisher: World Scientific Publishing Co, 2020

Synopsis

This compendium provides a comprehensive collection of the emergent applications of big data, machine learning, and artificial intelligence technologies to present day physical sciences ranging from materials theory and imaging to predictive synthesis and automated research. This area of research is among the most rapidly developing in the last several years in areas spanning materials science, chemistry, and condensed matter physics.

Written by world renowned researchers, the compilation of two authoritative volumes provides a distinct summary of the modern advances in instrument — driven data generation and analytics, establishing the links between the big data and predictive theories, and outlining the emerging field of data and physics-driven predictive and autonomous systems.

Readership: Professionals, researchers, academics, and graduate students in artificial intelligence, robotics and machine learning.

"synopsis" may belong to another edition of this title.

From the Back Cover

This compendium provides a comprehensive collection of the emergent applications of big data, machine learning, and artificial intelligence technologies to present day physical sciences ranging from materials theory and imaging to predictive synthesis and automated research. This area of research is among the most rapidly developing in the last several years in areas spanning materials science, chemistry, and condensed matter physics.

Written by world renowned researchers, the compilation of two authoritative volumes provides a distinct summary of the modern advances in instrument "€" driven data generation and analytics, establishing the links between the big data and predictive theories, and outlining the emerging field of data and physics-driven predictive and autonomous systems.

"About this title" may belong to another edition of this title.

Publisher
World Scientific Publishing Co
Publication date
2020
Language
English
ISBN 10 
9811204446
ISBN 13 
9789811204449
Binding
Hardcover
Number of pages
1000
Editor
Surya Kalidindi, Sergei V Kalinin, Turab Lookman, Kerstin Kleese Van Dam, Kevin G Yager, Stuart I Campbell, Richard Farnsworth, Maartje Van Dam