Handbook on big data and machine learning in the physical sciences (Record no. 97754)
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000 -LEADER | |
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fixed length control field | 02503cam a2200421Ma 4500 |
001 - CONTROL NUMBER | |
control field | 00011389 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 200416s2020 si ob 001 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9789811204531 |
-- | (ebook) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9811204535 |
-- | (ebook) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
-- | (set ; hbk.) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
-- | (set ; hbk.) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
-- | (v. 1 ; hbk.) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
-- | (v. 2 ; hbk.) |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 500.20285/57 |
245 00 - TITLE STATEMENT | |
Title | Handbook on big data and machine learning in the physical sciences |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication | Singapore ; |
-- | New Jersey : |
Publisher | World Scientific, |
Year of publication | [2020] |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | 1 online resource (2 vols.) |
490 1# - SERIES STATEMENT | |
Series statement | World scientific series on emerging technologies; |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | vol. 1. Big data methods in experimental materials discovery -- vol. 2. Advanced analysis solutions for leading experimental techniques. |
520 ## - SUMMARY, ETC. | |
Summary, etc | "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"--Publisher's website. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
General subdivision | Data processing. |
700 1# - AUTHOR 2 | |
Author 2 | Kalidindi, Surya. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://www.worldscientific.com/worldscibooks/10.1142/11389#t=toc |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Physical sciences |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Big data. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial intelligence. |
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