Lingua: Inglese
Editore: Springer International Publishing AG, Cham, 2022
ISBN 10: 3031053702 ISBN 13: 9783031053702
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. This book provides a practical and fairly comprehensive review of Data Science through the lens of dimensionality reduction, as well as hands-on techniques to tackle problems with data collected in the real world. State-of-the-art results and solutions from statistics, computer science and mathematics are explained from the point of view of a practitioner in any domain science, such as biology, cyber security, chemistry, sports science and many others. Quantitative and qualitative assessment methods are described to implement and validate the solutions back in the real world where the problems originated.The ability to generate, gather and store volumes of data in the order of tera- and exo bytes daily has far outpaced our ability to derive useful information with available computational resources for many domains.This book focuses on data science and problem definition, data cleansing, feature selection and extraction,statistical, geometric, information-theoretic, biomolecular and machine learning methods for dimensionality reduction of big datasets and problem solving, as well as a comparative assessment of solutions in a real-world setting.This book targets professionals working within related fields with an undergraduate degree in any science area, particularly quantitative. Readers should be able to follow examples in this book that introduce each method or technique. These motivating examples are followed by precise definitions of the technical concepts required and presentation of the results in general situations. These concepts require a degree of abstraction that can be followed by re-interpreting concepts like in the original example(s). Finally, each section closes with solutions to the original problem(s) afforded by these techniques, perhaps in various ways to compare and contrast dis/advantages to other solutions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: Wissenschaftl. Antiquariat Th. Haker e.K, Klettgau, Germania
EUR 30,80
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Aggiungi al carrellohardcover. Condizione: Sehr gut. 286 p. In very good condition. ISBN: 9783540561491 Sprache: Englisch Gewicht in Gramm: 549.
Lingua: Inglese
Editore: Springer International Publishing AG, CH, 2022
ISBN 10: 3031053702 ISBN 13: 9783031053702
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 72,27
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Aggiungi al carrelloHardback. Condizione: New. 2022 ed. This book provides a practical and fairly comprehensive review of Data Science through the lens of dimensionality reduction, as well as hands-on techniques to tackle problems with data collected in the real world. State-of-the-art results and solutions from statistics, computer science and mathematics are explained from the point of view of a practitioner in any domain science, such as biology, cyber security, chemistry, sports science and many others. Quantitative and qualitative assessment methods are described to implement and validate the solutions back in the real world where the problems originated.The ability to generate, gather and store volumes of data in the order of tera- and exo bytes daily has far outpaced our ability to derive useful information with available computational resources for many domains.This book focuses on data science and problem definition, data cleansing, feature selection and extraction,statistical, geometric, information-theoretic, biomolecular and machine learning methods for dimensionality reduction of big datasets and problem solving, as well as a comparative assessment of solutions in a real-world setting.This book targets professionals working within related fields with an undergraduate degree in any science area, particularly quantitative. Readers should be able to follow examples in this book that introduce each method or technique. These motivating examples are followed by precise definitions of the technical concepts required and presentation of the results in general situations. These concepts require a degree of abstraction that can be followed by re-interpreting concepts like in the original example(s). Finally, each section closes with solutions to the original problem(s) afforded by these techniques, perhaps in various ways to compare and contrast dis/advantages to other solutions.
Editore: Springer, 2012
Da: Books From California, Simi Valley, CA, U.S.A.
paperback. Condizione: Good. Ex-library copy with stamps and stickers. The pages are lightly tanned. The copy shows minor external wear, but is in otherwise clean condition.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 60,57
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: Chiron Media, Wallingford, Regno Unito
EUR 56,89
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Da: Chiron Media, Wallingford, Regno Unito
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 292.
EUR 66,25
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Da: Revaluation Books, Exeter, Regno Unito
EUR 78,52
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Aggiungi al carrelloPaperback. Condizione: Brand New. reprint edition. 286 pages. 9.25x6.10x0.66 inches. In Stock.
Lingua: Inglese
Editore: Springer-Verlag New York Inc, 2008
ISBN 10: 3540779612 ISBN 13: 9783540779612
Da: Revaluation Books, Exeter, Regno Unito
EUR 79,04
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Aggiungi al carrelloPaperback. Condizione: Brand New. 1st edition. 292 pages. 9.25x6.25x0.75 inches. In Stock.
Condizione: New. pp. 280.
Da: Chiron Media, Wallingford, Regno Unito
EUR 79,89
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Aggiungi al carrelloPaperback. Condizione: New.
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2012
ISBN 10: 3642779077 ISBN 13: 9783642779077
Da: moluna, Greven, Germania
EUR 47,23
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Aggiungi al carrelloPaperback. Condizione: Brand New. 276 pages. 9.25x6.10x0.67 inches. In Stock.
Lingua: Inglese
Editore: Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10: 3031053737 ISBN 13: 9783031053733
Da: moluna, Greven, Germania
EUR 55,78
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EUR 100,42
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Aggiungi al carrelloHardcover. Condizione: Brand New. 276 pages. 9.25x6.10x0.69 inches. In Stock.
Lingua: Inglese
Editore: Springer International Publishing, 2023
ISBN 10: 3031053737 ISBN 13: 9783031053733
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 50,28
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a practical and fairly comprehensive review of Data Science through the lensof dimensionality reduction, as well as hands-on techniques to tackle problems with data collected in the real world. State-of-the-art results and solutions from statistics, computer science and mathematics are explained from the point of view of a practitioner in any domain science, such as biology, cyber security, chemistry, sports science and many others. Quantitative and qualitative assessment methods are described to implement and validate the solutions back in the real world where the problems originated.The ability to generate, gather and store volumes of data in the order of tera- and exo bytes daily has far outpaced our ability to derive useful information with available computational resources for many domains.This book focuses on data science and problem definition, data cleansing, feature selection and extraction,statistical, geometric, information-theoretic, biomolecular and machine learning methods for dimensionality reduction of big datasets and problem solving, as well as a comparative assessment of solutions in a real-world setting.This book targets professionals working within related fields with an undergraduate degree in any science area, particularly quantitative. Readers should be able to follow examples in this book that introduce each method or technique. These motivating examples are followed by precise definitions of the technical concepts required and presentation of the results in general situations. These concepts require a degree of abstraction that can be followed by re-interpreting concepts like in the original example(s). Finally, each section closes with solutions to the original problem(s) afforded by these techniques, perhaps in various ways to compare and contrast dis/advantages toother solutions.