| Handbook on Big Data and Machine Learning in the Physical Sciences (in 2 Volumes) Contributor(s): Kalinin, Sergei V. (Editor in Chief), Foster, Ian T. (Editor in Chief) |
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ISBN: 9811204446 ISBN-13: 9789811204449 Publisher: World Scientific Publishing Company OUR PRICE: $931.00 Product Type: Hardcover Published: May 2020 |
| Additional Information |
| BISAC Categories: - Computers | Data Visualization - Computers | Databases - Data Mining - Computers | Intelligence (ai) & Semantics |
| Series: World Scientific Emerging Technologies |
| Physical Information: 2.5" H x 7" W x 9.9" (4.55 lbs) 1000 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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. |