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.
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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 [...]. (Estratto dal sito dell'editore)
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*Advances in data science : women in data science and mathematics (WiSDM) 2023 / Cristina Garcia-Cardona, Harlin Lee editors. - Cham : Springer, 2025. - 1 testo elettronico (xiv, 357 p. : ill.)
