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An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.
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Roman Vershynin is Professor of Mathematics at the University of California, Irvine. He studies random geometric structures across mathematics and data sciences, in particular in random matrix theory, geometric functional analysis, convex and discrete geometry, geometric combinatorics, high-dimensional statistics, information theory, machine learning, signal processing, and numerical analysis. His honors include an Alfred Sloan Research Fellowship in 2005, an invited talk at the International Congress of Mathematicians in Hyderabad in 2010, and a Bessel Research Award from the Humboldt Foundation in 2013. His 'Introduction to the Non-Asymptotic Analysis of Random Matrices' has become a popular educational resource for many new researchers in probability and data science.
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High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics, Band 47)
Editore:
Cambridge University Press, 2018
ISBN 10: 1108415199
ISBN 13: 9781108415194
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Condizione: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages. Codice articolo M01108415199-V
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High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 47)
Editore:
Cambridge University Press, 2018
ISBN 10: 1108415199
ISBN 13: 9781108415194
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hardcover. Condizione: Good. Codice articolo mon0003786704
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High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 47)
Editore:
Cambridge University Press, 2018
ISBN 10: 1108415199
ISBN 13: 9781108415194
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Da: Books From California, Simi Valley, CA, U.S.A.
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hardcover. Condizione: Very Good. Codice articolo mon0003749039
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HIGHDIMENSIONAL PROBABILITY
Da: Speedyhen, London, Regno Unito
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High-Dimensional Probability
Editore:
Cambridge University Press Mär 2019, 2019
ISBN 10: 1108415199
ISBN 13: 9781108415194
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Buch. Condizione: Neu. Neuware -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. 300 pp. Englisch. Codice articolo 9781108415194
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High-Dimensional Probability
Editore:
Cambridge University Press Mär 2019, 2019
ISBN 10: 1108415199
ISBN 13: 9781108415194
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Da: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germania
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Buch. Condizione: Neu. Neuware -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. 300 pp. Englisch. Codice articolo 9781108415194
Quantità: 2 disponibili
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Cambridge Series in Statistical and Probabilistic Mathematics: Series Number 47: High-Dimensional Probability: An Introduction with Applications in Data Science
Editore:
Cambridge University Press, 2018
ISBN 10: 1108415199
ISBN 13: 9781108415194
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Condizione: New. 2018. 1st Edition. Hardcover. . . . . . Codice articolo V9781108415194
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High-Dimensional Probability : An Introduction with Applications in Data Science
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Condizione: New. Codice articolo 31310712-n
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High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 47)
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Condizione: New. In. Codice articolo ria9781108415194_new
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High-dimensional Probability: An Introduction With Applications in Data Science
Print on DemandDa: Revaluation Books, Exeter, Regno Unito
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Hardcover. Condizione: Brand New. 296 pages. 10.00x7.25x1.00 inches. In Stock. This item is printed on demand. Codice articolo __1108415199
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