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Advances in Data Science (Paperback, 1st ed. 2021) Loot Price: R3,731
Discovery Miles 37 310
Advances in Data Science (Paperback, 1st ed. 2021): Ilke Demir, Yifei Lou, Xu Wang, Kathrin Welker

Advances in Data Science (Paperback, 1st ed. 2021)

Ilke Demir, Yifei Lou, Xu Wang, Kathrin Welker

Series: Association for Women in Mathematics Series, 26

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Loot Price R3,731 Discovery Miles 37 310 | Repayment Terms: R350 pm x 12*

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This volume highlights recent advances in data science, including image processing and enhancement on large data, shape analysis and geometry processing in 2D/3D, exploration and understanding of neural networks, and extensions to atypical data types such as social and biological signals. The contributions are based on discussions from two workshops under Association for Women in Mathematics (AWM), namely the second Women in Data Science and Mathematics (WiSDM) Research Collaboration Workshop that took place between July 29 and 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 that took place between July 16 and 20, 2018 at Trier University in Robert-Schuman-Haus, Trier, Germany. These submissions, seeded by working groups at the conference, form a valuable source for readers who are interested in ideas and methods developed in interdisciplinary research fields. The book features ideas, methods, and tools developed through a broad range of domains, ranging from theoretical analysis on graph neural networks to applications in health science. It also presents original results tackling real-world problems that often involve complex data analysis on large multi-modal data sources.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Association for Women in Mathematics Series, 26
Release date: December 2022
First published: 2021
Editors: Ilke Demir • Yifei Lou • Xu Wang • Kathrin Welker
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 364
Edition: 1st ed. 2021
ISBN-13: 978-3-03-079893-2
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Calculus of variations
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
Books > Computing & IT > Applications of computing > Image processing > General
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LSN: 3-03-079893-3
Barcode: 9783030798932

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