paperback. Condizione: Very Good. Unmarked trade paperback. Gentle bend on corner of cover.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 38,70
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 40,21
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Da: Majestic Books, Hounslow, Regno Unito
EUR 44,69
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Aggiungi al carrelloCondizione: New. pp. 188.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 35,87
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Aggiungi al carrelloCondizione: New.
Condizione: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
Condizione: New. pp. 188 2nd Edition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 41,71
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 54,40
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Aggiungi al carrelloCondizione: New. In English.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Condizione: New.
Da: Majestic Books, Hounslow, Regno Unito
EUR 92,26
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 85,77
Quantità: 10 disponibili
Aggiungi al carrelloCondizione: New.
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 94,05
Quantità: 4 disponibili
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EUR 100,32
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: Chiron Media, Wallingford, Regno Unito
EUR 96,65
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Aggiungi al carrellohardcover. Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 98,56
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 100,54
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Condizione: As New. Unread book in perfect condition.
Condizione: New.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838397266 ISBN 13: 9783838397269
Da: preigu, Osnabrück, Germania
EUR 51,00
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. The Generalized Splitting Method | Applications to Combinatorial Counting and Static Rare-Event Probability Estimation | Zdravko Botev | Taschenbuch | 140 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838397269 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Da: Majestic Books, Hounslow, Regno Unito
EUR 119,02
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New.
Da: MERS Goodwill, Saint Louis, MO, U.S.A.
Condizione: acceptable. Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Pages may include limited notes and highlighting, but the text cannot be obscured or unreadable. Any access codes or passwords originally included with the book may be expired, used or no longer valid. Image is stock photo and cover art edition may be different than pictured.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 113,21
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. 2025. 2nd Edition. hardcover. . . . . .
Condizione: New.
EUR 85,78
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: NEW.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 121,35
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032488689 ISBN 13: 9781032488684
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 145,58
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. 2nd. Praise for the first edition:"In nine succinct but information-packed chapters, the authors provide a logically structured and robust introduction to the mathematical and statistical methods underpinning the still-evolving field of AI and data science."- Joacim Rocklöv and Albert A. Gayle, International Journal of Epidemiology, Volume 49, Issue 6"This book organizes the algorithms clearly and cleverly. The way the Python code was written follows the algorithm closely-very useful for readers who wish to understand the rationale and flow of the background knowledge."- Yin-Ju Lai and Chuhsing Kate Hsiao, Biometrics, Volume 77, Issue 4The purpose of Data Science and Machine Learning: Mathematical and Statistical Methods is to provide an accessible, yet comprehensive textbook intended for students interested in gaining a better understanding of the mathematics and statistics that underpin the rich variety of ideas and machine learning algorithms in data science.New in the Second EditionThis expanded edition provides updates across key areas of statistical learning: Monte Carlo Methods: A new section introducing regenerative rejection sampling - a simpler alternative to MCMC. Unsupervised Learning: Inclusion of two multidimensional diffusion kernel density estimators, as well as the bandwidth perturbation matching method for the optimal data-driven bandwidth selection. Regression: New automatic bandwidth selection for local linear regression. Feature Selection and Shrinkage: A new chapter introducing the klimax method for model selection in high-dimensions. Reinforcement Learning: A new chapter on contemporary topics such as policy iteration, temporal difference learning, and policy gradient methods, all complete with Python code. Appendices: Expanded treatment of linear algebra, functional analysis, and optimization that includes the coordinate-descent method and the novel Majorization-Minimization method for constrained optimization.Key Features:Focuses on mathematical understanding.Presentation is self-contained, accessible, and comprehensive.Extensive list of exercises and worked-out examples.Many concrete algorithms with Python code.Full color throughout and extensive indexing.A single-counter consecutive numbering of all theorems, definitions, equations, etc., for easier text searches.