Verlag: Cambridge University Press, 2022
ISBN 10: 100900185X ISBN 13: 9781009001854
Sprache: Englisch
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Verlag: Cambridge University Press, 2022
ISBN 10: 100900185X ISBN 13: 9781009001854
Sprache: Englisch
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Verlag: Cambridge University Press, 2022
ISBN 10: 100900185X ISBN 13: 9781009001854
Sprache: Englisch
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Verlag: Cambridge University Press, 2022
ISBN 10: 1316518884 ISBN 13: 9781316518885
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: Brand New. reprint edition. 643 pages. 9.25x6.10x1.57 inches. In Stock.
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Verlag: Cambridge University Press, 2022
ISBN 10: 100900185X ISBN 13: 9781009001854
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This text provides deep and comprehensive coverage of the mathematical background for data science, including machine learning, optimal recovery, compressed sensing, optimization, and neural networks. In the past few decades, heuristic methods adopted by big tech companies have complemented existing scientific disciplines to form the new field of Data Science. This text embarks the readers on an engaging itinerary through the theory supporting the field. Altogether, twenty-seven lecture-length chapters with exercises provide all the details necessary for a solid understanding of key topics in data science. While the book covers standard material on machine learning and optimization, it also includes distinctive presentations of topics such as reproducing kernel Hilbert spaces, spectral clustering, optimal recovery, compressed sensing, group testing, and applications of semidefinite programming. Students and data scientists with less mathematical background will appreciate the appendices that provide more background on some of the more abstract concepts.
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In den WarenkorbHardcover. Zustand: As New. Unread, like new. Immediately dispatched from Germany.
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In den WarenkorbZustand: New. 2013. 2013th Edition. Hardcover. This book introduces and explains the essential theory of compressive sensing from a mathematical perspective, offering a substantial collection of exercises with hints to solutions, along with MATLAB codes for algorithms and simulations. Series: Applied and Numerical Harmonic Analysis. Num Pages: 625 pages, 13 black & white illustrations, biography. BIC Classification: PBKF; PDE; TJK; TTBM; UYAM. Category: (P) Professional & Vocational. Dimension: 241 x 162 x 39. Weight in Grams: 1088. . . . . . Books ship from the US and Ireland.
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In den WarenkorbHardcover. Zustand: Brand New. 2013 edition. 605 pages. 9.20x6.30x1.60 inches. In Stock.
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In den WarenkorbZustand: New. In.
Verlag: Cambridge University Press, 2022
ISBN 10: 1316518884 ISBN 13: 9781316518885
Sprache: Englisch
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EUR 136,03
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In den WarenkorbBuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This text provides deep and comprehensive coverage of the mathematical background for data science, including machine learning, optimal recovery, compressed sensing, optimization, and neural networks. In the past few decades, heuristic methods adopted by big tech companies have complemented existing scientific disciplines to form the new field of Data Science. This text embarks the readers on an engaging itinerary through the theory supporting the field. Altogether, twenty-seven lecture-length chapters with exercises provide all the details necessary for a solid understanding of key topics in data science. While the book covers standard material on machine learning and optimization, it also includes distinctive presentations of topics such as reproducing kernel Hilbert spaces, spectral clustering, optimal recovery, compressed sensing, group testing, and applications of semidefinite programming. Students and data scientists with less mathematical background will appreciate the appendices that provide more background on some of the more abstract concepts.
Verlag: Springer Nature Switzerland, Springer International Publishing Sep 2024, 2024
ISBN 10: 3031664965 ISBN 13: 9783031664960
Sprache: Englisch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
EUR 149,79
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In den WarenkorbBuch. Zustand: Neu. Neuware -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.Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 300 pp. Englisch.
Verlag: Springer International Publishing, Springer Nature Switzerland, 2024
ISBN 10: 3031664965 ISBN 13: 9783031664960
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 149,79
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In den WarenkorbBuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 218,69
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In den WarenkorbHardcover. Zustand: Brand New. 300 pages. 9.25x6.10x9.21 inches. In Stock.
Verlag: Birkhäuser, Applied and numerical harmonic analysis, 2013
Anbieter: Rometti Vincent, Nice, Frankreich
Erstausgabe
EUR 45,00
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In den WarenkorbCouverture rigide. Zustand: Très bon. Edition originale. Birkhäuser, Applied and numerical harmonic analysis, 2013. In-8, XVIII+625pp. Plein cartonnage de l'éditeur (hardcover). Très bon état.