Handbook on Big Data and Machine Learning in the Physical Sciences: 1 - Rilegato

Rilegato

ISBN 10: 9811204446 ISBN 13: 9789811204449

Casa editrice: World Scientific Pub Co Inc, 2020

Riassunto

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.

Dettagli dell'edizione

• Editore: World Scientific Pub Co Inc
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 9811204446
• ISBN 13: 9789811204449
• Rilegatura: Copertina rigida
• Numero di pagine: 850
• Redattore: Kalidindi Surya R., Kalinin Sergei V., Lookman Turab, Foster Ian, Van Dam Kerstin Kleese
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile