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Models of Massive Parallelism: Analysis of Cellular Automata and Neural Networks (Texts in Theoretical Computer Science. An EATCS Series).
Book 3 of 45: Texts in Theoretical Computer Science. An EATCSSeller: Wissenschaftl. Antiquariat Th. Haker e.K, Klettgau, Germany
Seller rating 5 out of 5 stars
hardcover. Condition: Sehr gut. 286 p. In very good condition. ISBN: 9783540561491 Sprache: Englisch Gewicht in Gramm: 549.
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Condition: New.
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Dimensionality Reduction in Data Science (Hardcover)
Language: English
Published by Springer International Publishing AG, Cham, 2022
ISBN 10: 3031053702 ISBN 13: 9783031053702
Hardcover. Condition: 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. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Dimensionality Reduction in Data Science
Language: English
Published by Springer International Publishing AG, 2022
ISBN 10: 3031053702 ISBN 13: 9783031053702
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Models of Massive Parallelism: Analysis of Cellular Automata and Neural Networks (Texts in Theoretical Computer Science. An EATCS Series)
Published by Springer, 2012
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
paperback. Condition: 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.
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Condition: As New. Unread book in perfect condition.
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Condition: NEW.
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Dimensionality Reduction in Data Science
Language: English
Published by Springer International Publishing AG, CH, 2022
ISBN 10: 3031053702 ISBN 13: 9783031053702
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: 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.
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Dimensionality Reduction in Data Science
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DNA Computing: 13th International Meeting on DNA Computing, DNA13, Memphis, TN, USA, June 4-8, 2007, Revised Selected Papers (Lecture Notes in Computer Science, 4848)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Models of Massive Parallelism: Analysis of Cellular Automata and Neural Networks (Texts in Theoretical Computer Science. An EATCS Series)
Book 3 of 45: Texts in Theoretical Computer Science. An EATCSSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Models of Massive Parallelism : Analysis of Cellular Automata and Neural Networks
Book 3 of 45: Texts in Theoretical Computer Science. An EATCSUS$ 66.61
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Dimensionality Reduction in Data Science
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Condition: New. pp. 292.
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Dimensionality Reduction in Data Science
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Dimensionality Reduction in Data Science
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Models of Massive Parallelism: Analysis of Cellular Automata and Neural Networks (Texts in Theoretical Computer Science. An Eatcs Series)
Book 3 of 45: Texts in Theoretical Computer Science. An EATCSUS$ 90.88
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Add to basketPaperback. Condition: Brand New. reprint edition. 286 pages. 9.25x6.10x0.66 inches. In Stock.
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DNA Computing: 13th International Meeting on DNA Computing, DNA13, Memphis, TN, USA, June 4-8, 2007, Revised Selected Papers: Vol 4848
Language: English
Published by Springer-Verlag New York Inc, 2008
ISBN 10: 3540779612 ISBN 13: 9783540779612
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N.A. Condition: New. ISBN:9783540561491.
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Condition: New. pp. 280.
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Atlas of Invertebrate Viruses: Atlas of Invertebrate Viruses (1991) (CRC Press Revivals)
Book 31 of 151: CRC Press RevivalsLanguage: English
Published by CRC Press 2019-02-07, 2019
ISBN 10: 113855765X ISBN 13: 9781138557659
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Models of Massive Parallelism
Book 3 of 45: Texts in Theoretical Computer Science. An EATCSLanguage: English
Published by Springer Berlin Heidelberg, 2012
ISBN 10: 3642779077 ISBN 13: 9783642779077
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Add to basketPaperback. Condition: Brand New. 276 pages. 9.25x6.10x0.67 inches. In Stock.
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Dimensionality Reduction in Data Science
Language: English
Published by Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10: 3031053737 ISBN 13: 9783031053733
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Add to basketHardcover. Condition: Brand New. 276 pages. 9.25x6.10x0.69 inches. In Stock.
