Shulph Ink
Advances in Data Science
Advances in Data Science
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Recent developments in data science, such as image processing, neural networks, and shape analysis, are highlighted in this volume. The contributions are based on workshops held by the Association for Women in Mathematics (AWM).
Format: Paperback / softback
Length: 364 pages
Publication date: 30 November 2022
Publisher: Springer Nature Switzerland AG
This comprehensive volume showcases recent breakthroughs in data science, encompassing a wide array of topics such as image processing and enhancement on massive datasets, shape analysis and geometry processing in 2D and 3D, exploration and comprehension of neural networks, and extensions to atypical data types like social and biological signals. The contributions in this book are drawn from two workshops organized by the Association for Women in Mathematics (AWM), namely the second Women in Data Science and Mathematics (WiSDM) Research Collaboration Workshop, held from July 29 to August 2, 2019, at the Institute for Computational and Experimental Research in Mathematics (ICERM) in Providence, Rhode Island, and the third Women in Shape (WiSh) Research Collaboration Workshop, held from July 16 to 20, 2018, at Trier University in Robert-Schuman-Haus, Trier, Germany. These submissions, initiated by working groups at the conference, serve as a valuable resource for readers seeking insights and methodologies developed in interdisciplinary research domains.
The book presents a diverse range of ideas, methods, and tools that have been developed across various fields, including theoretical analysis of graph neural networks and their applications in health science. It also showcases original research that addresses real-world problems, often requiring complex data analysis on large multi-modal data sources.
By presenting these cutting-edge advancements, this volume aims to provide a comprehensive understanding of the current state-of-the-art in data science and its potential applications across diverse industries. It serves as a valuable resource for researchers, practitioners, and students interested in advancing their knowledge and expertise in this rapidly evolving field.
Weight: 587g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030798932
Edition number: 1st ed. 2021
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