Data Science and Optimization - Couverture rigide

Dang, Sanjeena ; Deza, Antoine ; Gupta, Swati ; McNicholas, Paul D.; Sugiyama, Masashi

9783032038432: Data Science and Optimization

Couverture rigide

ISBN 10 : 303203843X ISBN 13 : 9783032038432

Editeur : Springer Nature Switzerland AG, 2026

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�diteur: Springer Nature Switzerland AG
Date d'�dition: 2026
Langue: anglais
ISBN 10: 303203843X
ISBN 13: 9783032038432
Reliure: Reli�
Nombre de pages: 350
�diteur: Pokutta Sebastian
Coordonn�es du fabricant: ProductSafety@springernature.com
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Data Science and Optimization

Dang, Sanjeena (EDT); Deza, Antoine (EDT); Gupta, Swati (EDT); McNicholas, Paul D. (EDT); Pokutta, Sebastian (EDT)

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Data Science and Optimization (Hardcover)

Sanjeena Dang

Edit� par Springer Nature Switzerland AG, Cham, 2026

ISBN 10 : 303203843X ISBN 13 : 9783032038432

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Hardcover. Etat : new. Hardcover. Data science and optimization are increasingly intertwined as both focus on developing computational and methodological approaches to tackling large and otherwise complex datasets. Optimization is primarily concerned with accuracy, computational efficiency, and robustness while data science emphasizes achieving effective results on real datasets. Although some data science approaches involve the implicit optimization of objective functions, there remains a dearth of work that brings advanced optimization techniques to bear on data science problems. The goal of the Fields Focus Program on Data Science and Optimization held in November 2019 at the Fields Institute in Toronto, was to bring together researchers in data science and optimization, both theoretical and applied, in an effort to bridge the fields and stimulate cross-disciplinary interaction and collaboration.In the spirit of the program, this volume compiles recent development and connections in the fields of data science and optimization, and the ways in which they overlap. It features novel results and state-of-the-art surveys as well as open problems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9783032038432

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Data Science and Optimization

Dang, Sanjeena; Deza, Antoine; Gupta, Swati; McNicholas, Paul D.; Sugiyama, Masashi

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ISBN 10 : 303203843X ISBN 13 : 9783032038432

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Data Science and Optimization

Dang, Sanjeena (EDT); Deza, Antoine (EDT); Gupta, Swati (EDT); McNicholas, Paul D. (EDT); Pokutta, Sebastian (EDT)

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Data Science and Optimization

Sanjeena Dang

Edit� par Springer-Verlag Gmbh Feb 2026, 2026

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data science and optimization are increasingly intertwined as both focus on developing computational and methodological approaches to tackling large and otherwise complex datasets. Optimization is primarily concerned with accuracy, computational efficiency, and robustness while data science emphasizes achieving effective results on real datasets. Although some data science approaches involve the implicit optimization of objective functions, there remains a dearth of work that brings advanced optimization techniques to bear on data science problems. The goal of the Fields Focus Program on Data Science and Optimization held in November 2019 at the Fields Institute in Toronto, was to bring together researchers in data science and optimization, both theoretical and applied, in an effort to bridge the fields and stimulate cross-disciplinary interaction and collaboration.In the spirit of the program, this volume compiles recent development and connections in the fields of data science and optimization, and the ways in which they overlap. It features novel results and state-of-the-art surveys as well as open problems. 342 pp. Englisch. N� de r�f. du vendeur 9783032038432

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Data Science and Optimization (Hardcover)

Sanjeena Dang

Edit� par Springer Nature Switzerland AG, Cham, 2026

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Hardcover. Etat : new. Hardcover. Data science and optimization are increasingly intertwined as both focus on developing computational and methodological approaches to tackling large and otherwise complex datasets. Optimization is primarily concerned with accuracy, computational efficiency, and robustness while data science emphasizes achieving effective results on real datasets. Although some data science approaches involve the implicit optimization of objective functions, there remains a dearth of work that brings advanced optimization techniques to bear on data science problems. The goal of the Fields Focus Program on Data Science and Optimization held in November 2019 at the Fields Institute in Toronto, was to bring together researchers in data science and optimization, both theoretical and applied, in an effort to bridge the fields and stimulate cross-disciplinary interaction and collaboration.In the spirit of the program, this volume compiles recent development and connections in the fields of data science and optimization, and the ways in which they overlap. It features novel results and state-of-the-art surveys as well as open problems. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N� de r�f. du vendeur 9783032038432

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Data Science and Optimization

Dang, Sanjeena (EDT); Deza, Antoine (EDT); Gupta, Swati (EDT); McNicholas, Paul D. (EDT); Pokutta, Sebastian (EDT)

Edit� par Springer, 2026

ISBN 10 : 303203843X ISBN 13 : 9783032038432

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Data Science and Optimization

Dang, Sanjeena (EDT); Deza, Antoine (EDT); Gupta, Swati (EDT); McNicholas, Paul D. (EDT); Pokutta, Sebastian (EDT)

Edit� par Springer, 2026

ISBN 10 : 303203843X ISBN 13 : 9783032038432

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Data Science and Optimization

Sanjeena Dang

Edit� par Springer, Springer International Publishing Feb 2026, 2026

ISBN 10 : 303203843X ISBN 13 : 9783032038432

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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Data science and optimization are increasingly intertwined as both focus on developing computational and methodological approaches to tackling large and otherwise complex datasets. Optimization is primarily concerned with accuracy, computational efficiency, and robustness while data science emphasizes achieving effective results on real datasets. Although some data science approaches involve the implicit optimization of objective functions, there remains a dearth of work that brings advanced optimization techniques to bear on data science problems. The goal of the Fields Focus Program on Data Science and Optimization held in November 2019 at the Fields Institute in Toronto, was to bring together researchers in data science and optimization, both theoretical and applied, in an effort to bridge the fields and stimulate cross-disciplinary interaction and collaboration.In the spirit of the program, this volume compiles recent development and connections in the fields of data science and optimization, and the ways in which they overlap. It features novel results and state-of-the-art surveys as well as open problems.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 352 pp. Englisch. N� de r�f. du vendeur 9783032038432

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Data Science and Optimization

Sanjeena Dang

Edit� par Springer, Palgrave Macmillan, 2026

ISBN 10 : 303203843X ISBN 13 : 9783032038432

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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Data science and optimization are increasingly intertwined as both focus on developing computational and methodological approaches to tackling large and otherwise complex datasets. Optimization is primarily concerned with accuracy, computational efficiency, and robustness while data science emphasizes achieving effective results on real datasets. Although some data science approaches involve the implicit optimization of objective functions, there remains a dearth of work that brings advanced optimization techniques to bear on data science problems. The goal of the Fields Focus Program on Data Science and Optimization held in November 2019 at the Fields Institute in Toronto, was to bring together researchers in data science and optimization, both theoretical and applied, in an effort to bridge the fields and stimulate cross-disciplinary interaction and collaboration.In the spirit of the program, this volume compiles recent development and connections in the fields of data science and optimization, and the ways in which they overlap. It features novel results and state-of-the-art surveys as well as open problems. N� de r�f. du vendeur 9783032038432

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