Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
Da: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condizione: Very Good. Cover and edges may have some wear.
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press, GB, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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Aggiungi al carrelloHardback. Condizione: New. High-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to quantify uncertainty in high dimensions. Drawing on ideas from probability, analysis, and geometry, it lends itself to applications in mathematics, statistics, theoretical computer science, signal processing, optimization, and more. It is the first to integrate theory, key tools, and modern applications of high-dimensional probability. Concentration inequalities form the core, and it covers both classical results such as Hoeffding's and Chernoff's inequalities and modern developments such as the matrix Bernstein's inequality. It then introduces the powerful methods based on stochastic processes, including such tools as Slepian's, Sudakov's, and Dudley's inequalities, as well as generic chaining and bounds based on VC dimension. A broad range of illustrations is embedded throughout, including classical and modern results for covariance estimation, clustering, networks, semidefinite programming, coding, dimension reduction, matrix completion, machine learning, compressed sensing, and sparse regression.
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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Aggiungi al carrellohardcover. Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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Prima edizione
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Aggiungi al carrelloCondizione: New. 2018. 1st Edition. hardcover. . . . . .
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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Lingua: Inglese
Editore: Cambridge University Press CUP, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. 2018. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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Aggiungi al carrelloCondizione: NEW.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108415199 ISBN 13: 9781108415194
Da: moluna, Greven, Germania
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Aggiungi al carrelloCondizione: New. The data sciences are moving fast, and probabilistic methods are both the foundation and a driver. This highly motivated text brings beginners up to speed quickly and provides working data scientists with powerful new tools. Ideal for a basic second course .
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 80,85
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - High-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to quantify uncertainty in high dimensions. Drawing on ideas from probability, analysis, and geometry, it lends itself to applications in mathematics, statistics, theoretical computer science, signal processing, optimization, and more. It is the first to integrate theory, key tools, and modern applications of high-dimensional probability. Concentration inequalities form the core, and it covers both classical results such as Hoeffding's and Chernoff's inequalities and modern developments such as the matrix Bernstein's inequality. It then introduces the powerful methods based on stochastic processes, including such tools as Slepian's, Sudakov's, and Dudley's inequalities, as well as generic chaining and bounds based on VC dimension. A broad range of illustrations is embedded throughout, including classical and modern results for covariance estimation, clustering, networks, semidefinite programming, coding, dimension reduction, matrix completion, machine learning, compressed sensing, and sparse regression.
Lingua: Inglese
Editore: Cambridge University Press, GB, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
Da: Rarewaves.com UK, London, Regno Unito
EUR 79,74
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Aggiungi al carrelloHardback. Condizione: New. High-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to quantify uncertainty in high dimensions. Drawing on ideas from probability, analysis, and geometry, it lends itself to applications in mathematics, statistics, theoretical computer science, signal processing, optimization, and more. It is the first to integrate theory, key tools, and modern applications of high-dimensional probability. Concentration inequalities form the core, and it covers both classical results such as Hoeffding's and Chernoff's inequalities and modern developments such as the matrix Bernstein's inequality. It then introduces the powerful methods based on stochastic processes, including such tools as Slepian's, Sudakov's, and Dudley's inequalities, as well as generic chaining and bounds based on VC dimension. A broad range of illustrations is embedded throughout, including classical and modern results for covariance estimation, clustering, networks, semidefinite programming, coding, dimension reduction, matrix completion, machine learning, compressed sensing, and sparse regression.
Lingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 1108415199 ISBN 13: 9781108415194
Da: preigu, Osnabrück, Germania
EUR 87,80
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Aggiungi al carrelloBuch. Condizione: Neu. High-Dimensional Probability | Roman Vershynin | Buch | Gebunden | Englisch | 2019 | Cambridge University Press | EAN 9781108415194 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
Da: Buchkanzlei, Bremen, Germania
EUR 58,40
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Aggiungi al carrelloHardcover. Condizione: Sehr gut. 300 pp. Very well preserved copy 326 Sprache: Englisch Gewicht in Gramm: 711.
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
Da: PBShop.store US, Wood Dale, IL, U.S.A.
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 74,69
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Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 79,45
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
Da: Biblios, Frankfurt am main, HESSE, Germania
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Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
Da: CitiRetail, Stevenage, Regno Unito
EUR 80,89
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. High-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to quantify uncertainty in high dimensions. Drawing on ideas from probability, analysis, and geometry, it lends itself to applications in mathematics, statistics, theoretical computer science, signal processing, optimization, and more. It is the first to integrate theory, key tools, and modern applications of high-dimensional probability. Concentration inequalities form the core, and it covers both classical results such as Hoeffding's and Chernoff's inequalities and modern developments such as the matrix Bernstein's inequality. It then introduces the powerful methods based on stochastic processes, including such tools as Slepian's, Sudakov's, and Dudley's inequalities, as well as generic chaining and bounds based on VC dimension. A broad range of illustrations is embedded throughout, including classical and modern results for covariance estimation, clustering, networks, semidefinite programming, coding, dimension reduction, matrix completion, machine learning, compressed sensing, and sparse regression. The data sciences are moving fast, and probabilistic methods are both the foundation and a driver. This highly motivated text brings beginners up to speed quickly and provides working data scientists with powerful new tools. Ideal for a basic second course in probability with a view to data science applications, it is also suitable for self-study. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 115,11
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. High-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to quantify uncertainty in high dimensions. Drawing on ideas from probability, analysis, and geometry, it lends itself to applications in mathematics, statistics, theoretical computer science, signal processing, optimization, and more. It is the first to integrate theory, key tools, and modern applications of high-dimensional probability. Concentration inequalities form the core, and it covers both classical results such as Hoeffding's and Chernoff's inequalities and modern developments such as the matrix Bernstein's inequality. It then introduces the powerful methods based on stochastic processes, including such tools as Slepian's, Sudakov's, and Dudley's inequalities, as well as generic chaining and bounds based on VC dimension. A broad range of illustrations is embedded throughout, including classical and modern results for covariance estimation, clustering, networks, semidefinite programming, coding, dimension reduction, matrix completion, machine learning, compressed sensing, and sparse regression. The data sciences are moving fast, and probabilistic methods are both the foundation and a driver. This highly motivated text brings beginners up to speed quickly and provides working data scientists with powerful new tools. Ideal for a basic second course in probability with a view to data science applications, it is also suitable for self-study. 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.