Description

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.

Handbook On Big Data And Machine Learning In The Physical Sciences (In 2 Volumes)

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£900.00

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Hardback by Sergei V Kalinin , Ian T Foster

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This compendium provides a comprehensive collection of the emergent applications of big data, machine learning, and artificial intelligence technologies to... Read more

    Publisher: World Scientific Publishing Co Pte Ltd
    Publication Date: 12/05/2020
    ISBN13: 9789811204449, 978-9811204449
    ISBN10: 9811204446

    Number of Pages: 1000

    Non Fiction , Computing

    Description

    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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