Handbook on Big Data and Machine Learning in the Physical Sciences (In 2 Volumes): 1 (World Scientific Series On Emerging Technologies: Avram Bar-cohen Memorial Series) - Hardcover

Hardcover

ISBN 10: 9811204446 ISBN 13: 9789811204449

Verlag: WSPC, 2020

Inhaltsangabe

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.

Über diesen Titel

Von der hinteren Coverseite

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.

Details zur Ausgabe

• Verlag: WSPC
• Erscheinungsdatum: 2020
• Sprache: Englisch
• ISBN 10: 9811204446
• ISBN 13: 9789811204449
• Einband: Tapa dura
• Anzahl der Seiten: 1000
• Herausgeber: Kalinin Sergei V
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar