Explorations in the Mathematics of Data Science
The Inaugural Volume of the Center for Approximation and Mathematical Data Analytics
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Beschreibung
This edited volume reports on the recent activities of the new Center for Approximation and Mathematical Data Analytics (CAMDA) at Texas A&M University. Chapters are based on talks from CAMDA’s inaugural conference – held in May 2023 – and its seminar series, as well as work performed by members of the Center. They showcase the interdisciplinary nature of data science, emphasizing its mathematical and theoretical foundations, especially those rooted in approximation theory.
This edited volume reports on the recent activities of the new Center for Approximation and Mathematical Data Analytics (CAMDA) at Texas A&M University. Chapters are based on talks from CAMDA’s inaugural conference – held in May 2023 – and its seminar series, as well as work performed by members of the Center. They showcase the interdisciplinary nature of data science, emphasizing its mathematical and theoretical foundations, especially those rooted in approximation theory.
Explores the most recent developments in the mathematics of data science Highlights the activities of the Center for Approximation and Mathematical Data Analytics (CAMDA) Focuses on the theoretical foundations of data science, especially those in Approximation Theory
Autor*in
Simon Foucart
Themen in »Explorations in the Mathematics of Data Science«
Approximation Theory Learning Theory Compressive Sensing Neural Networks Center for Approximation and Mathematical Data Analytics