Explorations in the Mathematics of Data Science (Hardcover)
Simon Foucart
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AbeBooks-Verkäufer seit 22. Juni 2007
Neu - Hardcover
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In den Warenkorb legenVerkauft von AussieBookSeller, Truganina, VIC, Australien
AbeBooks-Verkäufer seit 22. Juni 2007
Zustand: new
Anzahl: 1 verfügbar
In den Warenkorb legenHardcover. 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 CAMDAs 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 CAMDAs inaugural conference held in May 2023 and its seminar series, as well as work performed by members of the Center. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Bestandsnummer des Verkäufers 9783031664960
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.
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