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Solutions Manual to Accompany Simulation and the Monte Carlo Method (Wiley Series in Probability and Statistics)
Libro 209 di 358: Wiley Series in Probability and StatisticsDa: My Dead Aunt's Books, Hyattsville, MD, U.S.A.
Valutazione del venditore 4 su 5 stelle
paperback. Condizione: Very Good. Unmarked trade paperback. Gentle bend on corner of cover.
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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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Data Science and Machine Learning: Mathematical and Statistical Methods (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Libro 15 di 15: Chapman & Hall/Crc Machine Learning & Pattern RecognitionDa: Goodbooks Company, Springdale, AR, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: good. Has a sturdy binding with some shelf wear. May have some markings or highlighting. Used copies may not include access codes or Cd's. Slight bending may be present.
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Simulation and the Monte Carlo Method
Libro 209 di 358: Wiley Series in Probability and StatisticsDa: GreatBookPrices, Columbia, MD, U.S.A.
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EUR 36,06
Spedizione EUR 2,25
Spedito in U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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Simulation and the Monte Carlo Method
Libro 209 di 358: Wiley Series in Probability and StatisticsDa: GreatBookPrices, Columbia, MD, U.S.A.
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EUR 39,65
Spedizione EUR 2,25
Spedito in U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
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Solutions Manual to Accompany Simulation and the Monte Carlo Method
Libro 209 di 358: Wiley Series in Probability and StatisticsDa: Majestic Books, Hounslow, Regno Unito
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EUR 44,37
Spedizione EUR 7,53
Spedito da Regno Unito a U.S.A.Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 188.
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Simulation and the Monte Carlo Method
Libro 209 di 358: Wiley Series in Probability and StatisticsDa: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 35,93
Spedizione EUR 17,37
Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
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Data Science and Machine Learning: Mathematical and Statistical Methods (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Libro 15 di 15: Chapman & Hall/Crc Machine Learning & Pattern RecognitionDa: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Simulation and the Monte Carlo Method
Libro 209 di 358: Wiley Series in Probability and StatisticsDa: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 39,21
Spedizione EUR 17,37
Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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Solutions Manual to Accompany Simulation and the Monte Carlo Method
Libro 209 di 358: Wiley Series in Probability and StatisticsDa: Books Puddle, New York, NY, U.S.A.
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Condizione: New. pp. 188 2nd Edition.
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Data Science and Machine Learning : Mathematical and Statistical Methods
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New.
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Data Science and Machine Learning: Mathematical and Statistical Methods (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New.
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Data Science and Machine Learning: Mathematical and Statistical Methods (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Da: Majestic Books, Hounslow, Regno Unito
Valutazione del venditore 4 su 5 stelle
EUR 93,88
Spedizione EUR 7,53
Spedito da Regno Unito a U.S.A.Quantità: 4 disponibili
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Data Science and Machine Learning : Mathematical and Statistical Methods
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: As New. Unread book in perfect condition.
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Data Science and Machine Learning : Mathematical and Statistical Methods
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 85,92
Spedizione EUR 17,37
Spedito da Regno Unito a U.S.A.Quantità: 10 disponibili
Aggiungi al carrelloCondizione: New.
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Data Science and Machine Learning: Mathematical and Statistical Methods (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Da: Biblios, Frankfurt am main, HESSE, Germania
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EUR 95,52
Spedizione EUR 9,95
Spedito da Germania a U.S.A.Quantità: 4 disponibili
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Data Science and Machine Learning: Mathematical and Statistical Methods (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Da: Chiron Media, Wallingford, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 96,82
Spedizione EUR 17,94
Spedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Aggiungi al carrellohardcover. Condizione: New.
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Data Science and Machine Learning : Mathematical and Statistical Methods
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 98,64
Spedizione EUR 17,37
Spedito da Regno Unito a U.S.A.Quantità: 10 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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Handbook of Monte Carlo Methods (Wiley Series in Probability and Statistics)
Da: MERS Goodwill, Saint Louis, MO, U.S.A.
Valutazione del venditore 5 su 5 stelle
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.
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Data Science and Machine Learning
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032488689 ISBN 13: 9781032488684
EUR 125,78
Spedizione gratuita
Spedito in U.S.A.Quantità: Più di 20 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.
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The Elements of Hawkes Processes
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 114,70
Spedizione EUR 13,88
Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
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The Elements of Hawkes Processes
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 114,70
Spedizione EUR 13,88
Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
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Data Science and Machine Learning
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032488689 ISBN 13: 9781032488684
Da: Rarewaves.com USA, London, LONDO, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 146,01
Spedizione gratuita
Spedito da Regno Unito a U.S.A.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.
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EUR 106,53
Spedizione EUR 48,99
Spedito da Germania a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New. Zdravko I. Botev, PhD, is the pioneer of several modern statistical methodologies, including the diffusion kernel density estimator, the generalized splitting method for rare-event simulation, the bandwidth perturbation matching.
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The Elements of Hawkes Processes
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Handbook of Monte Carlo Methods
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New.
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Handbook of Monte Carlo Methods
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 150,76
Spedizione EUR 17,37
Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
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Data Science and Machine Learning
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032488689 ISBN 13: 9781032488684
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 128,85
Spedizione EUR 42,66
Spedito in U.S.A.Quantità: Più di 20 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.
-
The Elements of Hawkes Processes
Da: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 161,90
Spedizione EUR 11,58
Spedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 147 pages. 9.25x6.10x0.32 inches. In Stock.
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Data Science and Machine Learning: Mathematical and Statistical Methods
Da: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 150,17
Spedizione EUR 23,17
Spedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 2nd edition. 760 pages. 10.00x7.00x10.00 inches. In Stock.
