HDBK BIG DATA & MACH LEARN (2V) (eBook)

(In 2 Volumes)Volume 1: Big Data Methods in Experimental Materials DiscoveryVolume 2: Advanced Analysis Solutions for Leading Experimental Techniques

eBook Download: EPUB

2020
1000 Seiten
World Scientific Publishing Company (Verlag)
978-981-12-0458-6 (ISBN)

Infos

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.

Produkt-Details

• Erscheint lt. Verlag: 10.3.2020
• Reihe/Serie: World Scientific Series on Emerging Technologies
• Reihe/Serie: World Scientific Series On Emerging Technologies
• Reihe/Serie: WS SERIES ON EMERGING TECHNOLOGIES
• Reihe/Serie: WS SERIES ON EMERGING TECHNOLOGIES
• Mitarbeit: Chef-Herausgeber: Sergei V Kalinin, Ian T Foster
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• ISBN-10: 981-12-0458-6 / 9811204586
• ISBN-13: 978-981-12-0458-6 / 9789811204586