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9781108415194 - High-Dimensional Probability: An Introduction with Applications in Data Science di Vershynin, Roman (22 risultati)
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High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics, Band 47)
Libro 36 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 47)
Libro 36 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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High-Dimensional Probability : An Introduction with Applications in Data Science
Libro 36 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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High-Dimensional Probability : An Introduction with Applications in Data Science
Libro 36 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
Da: GreatBookPrices, Columbia, MD, U.S.A.
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High-Dimensional Probability (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 47)
Libro 36 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabiistic Mathematics)
Libro 36 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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Aggiungi al carrelloHardcover. Condizione: Sehr gut. 300 pp. Very well preserved copy 326 Sprache: Englisch Gewicht in Gramm: 711.
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High-Dimensional Probability : An Introduction with Applications in Data Science
Libro 36 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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High-Dimensional Probability: An Introduction with Applications in Data Science: 47 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 47)
Libro 36 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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Aggiungi al carrelloCondizione: New. 2018. 1st Edition. hardcover. . . . . .
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High-Dimensional Probability
Libro 36 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: 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.
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High-Dimensional Probability : An Introduction with Applications in Data Science
Libro 36 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 47)
Libro 36 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press CUP, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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High-Dimensional Probability: An Introduction with Applications in Data Science: 47 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 47)
Libro 36 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
Da: Kennys Bookstore, Olney, MD, U.S.A.
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Aggiungi al carrelloCondizione: New. 2018. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
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High-Dimensional Probability
Libro 36 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: 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.
-
High-Dimensional Probability
Libro 36 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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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.
-
High-Dimensional Probability
Libro 36 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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High-Dimensional Probability
Libro 36 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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High-Dimensional Probability: An Introduction with Applications in Data Science
Libro 36 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 47)
Libro 36 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 47)
Libro 36 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
Da: Biblios, Frankfurt am main, HESSE, Germania
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High-Dimensional Probability (Hardcover)
Libro 36 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, Cambridge, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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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.
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High-Dimensional Probability
Libro 36 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108415199 ISBN 13: 9781108415194
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 .
-
High-Dimensional Probability
Libro 36 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108415199 ISBN 13: 9781108415194
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Aggiungi al carrelloBuch. Condizione: Neu. High-Dimensional Probability | Roman Vershynin | Buch | Gebunden | Englisch | 2020 | Cambridge University Press | EAN 9781108415194 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
