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Principles Methods Data Science (24 results)
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Condition: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned.
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Data Science for Entrepreneurship: Principles and Methods for Data Engineering, Analytics, Entrepreneurship, and the Society
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 45.62
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Add to basketCondition: New. In English.
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£ 12.92
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Add to basketHardcover. Condition: Very Good. Very nice book. Spine is slightly cocked.
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Data Science for Entrepreneurship : Principles and Methods for Data Engineering, Analytics, Entrepreneurship, and the Society
Published by Springer International Publishing, Springer International Publishing, 2024
ISBN 10: 3031195566 ISBN 13: 9783031195563
Language: English
£ 56.30
Convert currency£ 11.91 shipping from Germany to United KingdomQuantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The fast-paced technological development and the plethora of data create numerous opportunities waiting to be exploited by entrepreneurs. This book provides a detailed, yet practical, introduction to the fundamental principles of data science and how entrepreneurs and would-be entrepreneurs can take advantage of it. It walks the reader through sections on data engineering, and data analytics as well as sections on data entrepreneurship and data use in relation to society. The book also offers ways to close the research and practice gaps between data science and entrepreneurship. By having read this book, students of entrepreneurship courses will be better able to commercialize data-driven ideas that may be solutions to real-life problems. Chapters contain detailed examples and cases for a better understanding. Discussion points or questions at the end of each chapter help to deeply reflect on the learning material.
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Hardcover. Condition: Good. Good. book.
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Data Science for Entrepreneurship : Principles and Methods for Data Engineering, Analytics, Entrepreneurship, and the Society
Published by Springer International Publishing, Springer Nature Switzerland, 2023
ISBN 10: 3031195531 ISBN 13: 9783031195532
Language: English
£ 79.76
Convert currency£ 11.91 shipping from Germany to United KingdomQuantity: 1 available
Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The fast-paced technological development and the plethora of data create numerous opportunities waiting to be exploited by entrepreneurs. This book provides a detailed, yet practical, introduction to the fundamental principles of data science and how entrepreneurs and would-be entrepreneurs can take advantage of it. It walks the reader through sections on data engineering, and data analytics as well as sections on data entrepreneurship and data use in relation to society. The book also offers ways to close the research and practice gaps between data science and entrepreneurship. By having read this book, students of entrepreneurship courses will be better able to commercialize data-driven ideas that may be solutions to real-life problems. Chapters contain detailed examples and cases for a better understanding. Discussion points or questions at the end of each chapter help to deeply reflect on the learning material.
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Structure of Metals, Third Edition: Crystallographic Methods, Principles and Data (International Series on Materials Science and Technology)
Published by Pergamon, 1980
£ 16.53
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Add to basketPaperback. Condition: Good. Used with some cover wear but no markings.
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Hardcover. Condition: Brand New. 546 pages. 9.25x6.10x1.30 inches. In Stock.
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Structure of Metals, Third Edition: Crystallographic Methods, Principles and Data (International Series on Materials Science and Technology)
Published by Pergamon Press, Oxford New York, 1980
ISBN 10: 008026171X ISBN 13: 9780080261713
Language: English
£ 76.02
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Add to basketHardcover. Condition: Fine. No Jacket. 3rd Edition. Volume 35 of the International Series on Materials Science and Technology. White cloth covered boards. 8vo, 654pp. Name written on the inside of the back cover, otherwise like new!
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hardcover. Condition: New. New. book.
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Condition: New.
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£ 192.23
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Add to basketPaperback. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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£ 210.09
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£ 228.76
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Principles and Methods for Data Science
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 228.27
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Hardcover. Condition: Brand New. 420 pages. 9.00x6.00x1.10 inches. In Stock.
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£ 226.22
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Principles and Methods for Data Science (Volume 43) (Handbook of Statistics, Volume 43)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 238.03
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Principles and Methods for Data Science
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 260.05
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Principles and Methods for Data Science
Published by Elsevier Science & Technology|North Holland, 2020
ISBN 10: 0444642110 ISBN 13: 9780444642110
Language: English
£ 253.58
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Add to basketGebunden. Condition: New. Principles and Methods for Data Science, Volume 43 in the Handbook of Statistics series, highlights new advances in the field, with this updated volume presenting interesting and timely topics, including Competing risks, aims and methods, D.
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£ 269.23
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Foreign computer science classic textbook: data warehouse design: modern principles and methods(Chinese Edition)
Published by Tsinghua University Press Society Pub. Date :2010-, 2000
ISBN 10: 7302230749 ISBN 13: 9787302230748
Language: Chinese
£ 62.83
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Add to basketpaperback. Condition: New. Paperback. Pub Date: 2010 Pages: 393 Publisher: Tsinghua University Press data warehouse design: modern principles and methods informative. illustrated on the forefront of data warehouse design techniques to guide you to build a safe and reliable decision support infrastructure. It describes a practical design methods follow a proven and reliable software engineering principles. discuss how handy to build a conceptual model of expressive. conceptual model into a relational schema and design t.
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Principles and Methods for Data Science
Published by Elsevier Science & Technology, North Holland, 2020
ISBN 10: 0444642110 ISBN 13: 9780444642110
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
£ 201.73
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Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Principles and Methods for Data Science, Volume 43 in the Handbook of Statistics series, highlights new advances in the field, with this updated volume presenting interesting and timely topics, including Competing risks, aims and methods, Data analysis and mining of microbial community dynamics, Support Vector Machines, a robust prediction method with applications in bioinformatics, Bayesian Model Selection for Data with High Dimension, High dimensional statistical inference: theoretical development to data analytics, Big data challenges in genomics, Analysis of microarray gene expression data using information theory and stochastic algorithm, Hybrid Models, Markov Chain Monte Carlo Methods: Theory and Practice, and more. Englisch.
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Principles and Methods for Data Science
Published by Elsevier Science & Technology, North Holland, 2020
ISBN 10: 0444642110 ISBN 13: 9780444642110
Language: English
£ 219.62
Convert currency£ 11.91 shipping from Germany to United KingdomQuantity: 2 available
Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Principles and Methods for Data Science, Volume 43 in the Handbook of Statistics series, highlights new advances in the field, with this updated volume presenting interesting and timely topics, including Competing risks, aims and methods, Data analysis and mining of microbial community dynamics, Support Vector Machines, a robust prediction method with applications in bioinformatics, Bayesian Model Selection for Data with High Dimension, High dimensional statistical inference: theoretical development to data analytics, Big data challenges in genomics, Analysis of microarray gene expression data using information theory and stochastic algorithm, Hybrid Models, Markov Chain Monte Carlo Methods: Theory and Practice, and more.
