Sprache: Englisch
Verlag: Cambridge India, 2018
Anbieter: Books in my Basket, New Delhi, Indien
Soft cover. Zustand: New. ISBN:9781009114295,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.
Sprache: Englisch
Verlag: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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Sprache: Englisch
Verlag: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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Sprache: Englisch
Verlag: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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Verlag: Cambridge University Press, 2021
ISBN 10: 1009114298 ISBN 13: 9781009114295
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Verlag: CAMBRIDGE INDIA, 2018
ISBN 10: 1009114298 ISBN 13: 9781009114295
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In den WarenkorbPaperback. Zustand: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-12 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Sprache: Englisch
Verlag: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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Sprache: Englisch
Verlag: Cambridge University Press, 2026
ISBN 10: 1009490648 ISBN 13: 9781009490641
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ISBN 10: 1009490648 ISBN 13: 9781009490641
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ISBN 10: 1108415199 ISBN 13: 9781108415194
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Sprache: Englisch
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ISBN 10: 1009490648 ISBN 13: 9781009490641
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Sprache: Englisch
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ISBN 10: 1108415199 ISBN 13: 9781108415194
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Hardcover. Zustand: Sehr gut. 300 pp. Very well preserved copy 326 Sprache: Englisch Gewicht in Gramm: 711.
Sprache: Englisch
Verlag: Cambridge University Press, 2026
ISBN 10: 1009490648 ISBN 13: 9781009490641
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ISBN 10: 1108415199 ISBN 13: 9781108415194
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ISBN 10: 1009490648 ISBN 13: 9781009490641
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In den WarenkorbZustand: New. 2018. 1st Edition. hardcover. . . . . .
Sprache: Englisch
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ISBN 10: 1009490648 ISBN 13: 9781009490641
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In den WarenkorbHardback. Zustand: 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.
Sprache: Englisch
Verlag: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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In den WarenkorbHardback. Zustand: New. 2nd. 'High-Dimensional Probability,' winner of the 2019 PROSE Award in Mathematics, offers an accessible and friendly introduction to key probabilistic methods for mathematical data scientists. Streamlined and updated, this second edition integrates theory, core tools, and modern applications. Concentration inequalities are central, including classical results like Hoeffding's and Chernoff's inequalities, and modern ones like the matrix Bernstein inequality. The book also develops methods based on stochastic processes - Slepian's, Sudakov's, and Dudley's inequalities, generic chaining, and VC-based bounds. Applications include covariance estimation, clustering, networks, semidefinite programming, coding, dimension reduction, matrix completion, and machine learning. New to this edition are 200 additional exercises, alongside extra hints to assist with self-study. Material on analysis, probability, and linear algebra has been reworked and expanded to help bridge the gap from a typical undergraduate background to a second course in probability.
Sprache: Englisch
Verlag: Cambridge University Press CUP, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
Anbieter: Books Puddle, New York, NY, USA
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Sprache: Englisch
Verlag: Cambridge University Press, 2026
ISBN 10: 1009490648 ISBN 13: 9781009490641
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Zustand: New. 2026. 2nd Edition. hardcover. . . . . .
Sprache: Englisch
Verlag: Cambridge University Press, 2018
ISBN 10: 1108415199 ISBN 13: 9781108415194
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In den WarenkorbZustand: New. 2018. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Cambridge University Press, Cambridge, 2026
ISBN 10: 1009490648 ISBN 13: 9781009490641
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In den WarenkorbHardcover. Zustand: new. Hardcover. 'High-Dimensional Probability,' winner of the 2019 PROSE Award in Mathematics, offers an accessible and friendly introduction to key probabilistic methods for mathematical data scientists. Streamlined and updated, this second edition integrates theory, core tools, and modern applications. Concentration inequalities are central, including classical results like Hoeffding's and Chernoff's inequalities, and modern ones like the matrix Bernstein inequality. The book also develops methods based on stochastic processes Slepian's, Sudakov's, and Dudley's inequalities, generic chaining, and VC-based bounds. Applications include covariance estimation, clustering, networks, semidefinite programming, coding, dimension reduction, matrix completion, and machine learning. New to this edition are 200 additional exercises, alongside extra hints to assist with self-study. Material on analysis, probability, and linear algebra has been reworked and expanded to help bridge the gap from a typical undergraduate background to a second course in probability. This new edition of 'High-Dimensional Probability,' winner of the 2019 PROSE Award in Mathematics, offers an accessible and friendly introduction to key probabilistic methods for mathematical data scientists. Updated with 200 new exercises, it's ideal for a course or self-study, requiring only an undergraduate background in probability. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Sprache: Englisch
Verlag: Cambridge University Press, 2026
ISBN 10: 1009490648 ISBN 13: 9781009490641
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In den WarenkorbHardcover. Zustand: Brand New. 2nd revised edition edition. 346 pages. 7.00x0.81x10.00 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2026
ISBN 10: 1009490648 ISBN 13: 9781009490641
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Zustand: New. 2026. 2nd Edition. hardcover. . . . . . Books ship from the US and Ireland.