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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
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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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).
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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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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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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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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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$ 65.02
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Dimensionality Reduction in Data Science
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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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
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Dimensionality Reduction in Data Science
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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$ 91.04
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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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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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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.
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Dimensionality Reduction in Data Science
Language: English
Published by Springer International Publishing, 2023
ISBN 10: 3031053737 ISBN 13: 9783031053733
Taschenbuch. Condition: 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.
-
Models of Massive Parallelism : Analysis of Cellular Automata and Neural Networks
Book 3 of 45: Texts in Theoretical Computer Science. An EATCSLanguage: English
Published by Springer Berlin Heidelberg, 2012
ISBN 10: 3642779077 ISBN 13: 9783642779077
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Locality is a fundamental restriction in nature. On the other hand, adaptive complex systems, life in particular, exhibit a sense of permanence and time lessness amidst relentless constant changes in surrounding environments that make the global properties of the physical world the most important problems in understanding their nature and structure. Thus, much of the differential and integral Calculus deals with the problem of passing from local information (as expressed, for example, by a differential equation, or the contour of a region) to global features of a system's behavior (an equation of growth, or an area). Fundamental laws in the exact sciences seek to express the observable global behavior of physical objects through equations about local interaction of their components, on the assumption that the continuum is the most accurate model of physical reality. Paradoxically, much of modern physics calls for a fundamen tal discrete component in our understanding of the physical world. Useful computational models must be eventually constructed in hardware, and as such can only be based on local interaction of simple processing elements.
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DNA Computing : 13th International Meeting on DNA Computing, DNA13, Memphis, TN, USA, June 4-8, 2007, Revised Selected Papers
Language: English
Published by Springer Berlin Heidelberg, 2008
ISBN 10: 3540779612 ISBN 13: 9783540779612
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Biomolecular/DNA computing is now well established as an interdisciplinary field where chemistry, computer science, molecular biology, physics, and mathematics come together with the common purpose of fundamental scientific understanding of biology and chemistry and its applications. This international meeting has been the premier forum where scientists with different backgrounds and a common focus meet to present their latest results and entertain visions of the future. In this tradition, about 100 participants converged in Memphis, Tennessee to hold the 13th International Meeting on DNA Computing during June 4-8, 2007, under the auspices of the International Society for Nanoscale Science, Computation and Engineering (ISNSCE) and The University of Memphis. The call for papers encouraged submissions of original, recent, and promising experimental and theoretical results in the field. The Call for Papers elicited some 62 submissions, almost perfectly balanced among the major theoretical and experimental categories. It is evidence of how well the interdisciplinary nature of the conference has truly matured that the major criterion of quality, agreed upon in advance by the Program Committee (PC), produced a nearly balanced program as well across the two major categories, full papers and talks with an abstract only. The program with the greatest perceived impact consisted of 24 papers for plenary oral talks; in addition, 15 full-paper posters and 10 poster abstracts were accepted, of which 5 authors were invited to give five short demos in a new submission category this year. The conference program retained the structure now customary for this meeting.
