Handbook On Big Data And Machine Learning In The Physical Sciences (In 2 Volumes)
Author:   Sergei V Kalinin (Oak Ridge Nat'l Lab, Usa) ,  Ian T Foster (Argonne Nat'l Lab, Usa & Univ Of Chicago, Usa)
Publisher:   World Scientific Publishing Co Pte Ltd
Volume:   1
ISBN:  

9789811204449


Pages:   1000
Publication Date:   12 May 2020
Format:   Hardback
Availability:   In Print   Availability explained
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Handbook On Big Data And Machine Learning In The Physical Sciences (In 2 Volumes)


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Overview

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.

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Author:   Sergei V Kalinin (Oak Ridge Nat'l Lab, Usa) ,  Ian T Foster (Argonne Nat'l Lab, Usa & Univ Of Chicago, Usa)
Publisher:   World Scientific Publishing Co Pte Ltd
Imprint:   World Scientific Publishing Co Pte Ltd
Volume:   1
ISBN:  

9789811204449


ISBN 10:   9811204446
Pages:   1000
Publication Date:   12 May 2020
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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