Advances in Data Science: Women in Data Science and Mathematics (Wisdm) 2023
暫譯: 數據科學進展：數據科學與數學中的女性 (Wisdm) 2023

Garcia-Cardona, Cristina, Lee, Harlin

Advances in Data Science: Women in Data Science and Mathematics (Wisdm) 2023
  • 出版商: Springer
  • 出版日期: 2025-09-27
  • 售價: $7,890
  • 貴賓價: 9.5 折 $7,496
  • 語言: 英文
  • 頁數: 357
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3031878035
  • ISBN-13: 9783031878039
  • 相關分類: Data-mining

    • 海外代購書籍(需單獨結帳)

商品描述

This volume features recent advances in data science ranging from algebraic geometry used for existence and uniqueness proofs of low rank approximations for tensor data, to category theory used for natural language processing applications, to approximation and optimization frameworks developed for convergence and robustness guarantees for deep neural networks. It provides ideas, methods, and tools developed in inherently interdisciplinary research problems requiring mathematics, computer science and data domain expertise. It also presents original results tackling real-world problems with immediate applications in industry and government.

Contributions are based on the third Women in Data Science and Mathematics (WiSDM) Research collaboration Workshop that took place between August 7 and August 11, 2023 at the Institute for Pure & Applied Mathematics (IPAM) in Los Angeles, California, US. The submissions from the workshop and related groups constitute a valuable source for readers who are interested in mathematically-founded approaches to modeling data for exploration, understanding and prediction.

商品描述(中文翻譯)

本卷介紹了數據科學的最新進展，涵蓋了從代數幾何用於低秩近似的存在性和唯一性證明，到用於自然語言處理應用的範疇理論，再到為深度神經網絡的收斂性和穩健性保證而開發的近似和優化框架。它提供了在本質上需要數學、計算機科學和數據領域專業知識的跨學科研究問題中開發的思想、方法和工具。它還展示了針對現實世界問題的原創結果，這些問題在工業和政府中具有直接應用。

這些貢獻基於第三屆女性數據科學與數學（WiSDM）研究合作研討會，該研討會於2023年8月7日至8月11日在美國加利福尼亞州洛杉磯的純粹與應用數學研究所（IPAM）舉行。來自研討會及相關團體的投稿為對數據建模的數學基礎方法感興趣的讀者提供了寶貴的資源，這些方法用於探索、理解和預測數據。

作者簡介

Cristina Garcia-Cardona received the B.Sc. degree in electrical engineering from Universidad de Los Andes, Colombia, the M.Sc. degree in emergent computer sciences from Universidad Central de Venezuela, and the Ph.D. degree in computational science from Claremont Graduate University and San Diego State University Joint Program, CA, USA. She is currently a Staff Scientist with the Computer, Computational and Statistical Sciences (CCS) Division, Los Alamos National Laboratory, Los Alamos, NM, USA. Her research interests include inverse problems, sparse representations, graph algorithms, and machine learning applications.

Harlin Lee received the B.S. and M.Eng. degrees in electrical engineering and computer science from Massachusetts Institute of Technology, USA, and the M.S degree in machine learning and the Ph.D. degree in electrical and computer engineering from Carnegie Mellon University, USA. She completed postdoctoral studies in applied math at the University of California, Los Angeles. She is currently an Assistant Professor at the School of Data Science and Society, University of North Carolina at Chapel Hill, NC, USA. Her research interests include graphs, manifolds, optimal transport, nonconvex optimization, statistical signal processing, machine learning, and healthcare.

作者簡介(中文翻譯)

Cristina Garcia-Cardona 於哥倫比亞的安地斯大學獲得電機工程學士學位，於委內瑞拉中央大學獲得新興計算科學碩士學位，並於美國加州的克萊蒙特研究生大學和聖地牙哥州立大學聯合計畫獲得計算科學博士學位。她目前是美國洛斯阿拉莫斯國家實驗室計算、計算機與統計科學（CCS）部門的研究科學家。她的研究興趣包括反問題、稀疏表示、圖算法和機器學習應用。 Harlin Lee 於美國麻省理工學院獲得電機工程和計算機科學的學士及碩士學位，並於卡內基梅隆大學獲得機器學習碩士學位和電機與計算機工程博士學位。她在加州大學洛杉磯分校完成應用數學的博士後研究。她目前是美國北卡羅來納大學教堂山校區數據科學與社會學院的助理教授。她的研究興趣包括圖、流形、最優運輸、非凸優化、統計信號處理、機器學習和醫療保健。

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