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Añadir al carritoPaperback or Softback. Condición: New. An Introduction to Data Analysis Using Aggregation Functions in R 0.67. Book.
Publicado por Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3319835793 ISBN 13: 9783319835792
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 53,49
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools. Offering a broad overview of recent trends in aggregation research, it complements any study in statistical or machine learning techniques. Readers will learn how to program key functions in R without obtaining an extensive programming background.Sections of the textbook cover background information and context, aggregating data with averaging functions, power means, and weighted averages including the Borda count. It explains how to transform data using normalization or scaling and standardization, as well as log, polynomial, and rank transforms. The section on averaging with interaction introduces OWS functions and the Choquet integral, simple functions that allow the handling of non-independent inputs. The final chapters examine software analysis with an emphasison parameter identification rather than technical aspects.This textbook is designed for students studying computer science or business who are interested in tools for summarizing and interpreting data, without requiring a strong mathematical background. It is also suitable for those working on sophisticated data science techniques who seek a better conception of fundamental data aggregation. Solutions to the practice questions are included in the textbook.
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Publicado por Springer International Publishing, 2016
ISBN 10: 3319467611 ISBN 13: 9783319467610
Idioma: Inglés
Librería: Buchpark, Trebbin, Alemania
EUR 59,68
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Añadir al carritoCondición: Sehr gut. Zustand: Sehr gut | Seiten: 212 | Sprache: Englisch | Produktart: Bücher.
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Publicado por Springer International Publishing, Springer International Publishing Jun 2018, 2018
ISBN 10: 3319835793 ISBN 13: 9783319835792
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 53,49
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools. Offering a broad overview of recent trends in aggregation research, it complements any study in statistical or machine learning techniques. Readers will learn how to program key functions in R without obtaining an extensive programming background.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 212 pp. Englisch.
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Publicado por Springer International Publishing, 2016
ISBN 10: 3319467611 ISBN 13: 9783319467610
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 80,24
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools. Offering a broad overview of recent trends in aggregation research, it complements any study in statistical or machine learning techniques. Readers will learn how to program key functions in R without obtaining an extensive programming background.Sections of the textbook cover background information and context, aggregating data with averaging functions, power means, and weighted averages including the Borda count. It explains how to transform data using normalization or scaling and standardization, as well as log, polynomial, and rank transforms. The section on averaging with interaction introduces OWS functions and the Choquet integral, simple functions that allow the handling of non-independent inputs. The final chapters examine software analysis with an emphasison parameter identification rather than technical aspects.This textbook is designed for students studying computer science or business who are interested in tools for summarizing and interpreting data, without requiring a strong mathematical background. It is also suitable for those working on sophisticated data science techniques who seek a better conception of fundamental data aggregation. Solutions to the practice questions are included in the textbook.
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EUR 81,40
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Librería: Books Puddle, New York, NY, Estados Unidos de America
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Publicado por Springer International Publishing, Springer International Publishing Nov 2016, 2016
ISBN 10: 3319467611 ISBN 13: 9783319467610
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 80,24
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Añadir al carritoBuch. Condición: Neu. Neuware -This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools. Offering a broad overview of recent trends in aggregation research, it complements any study in statistical or machine learning techniques. Readers will learn how to program key functions in R without obtaining an extensive programming background.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 212 pp. Englisch.
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Publicado por Springer International Publishing Jun 2018, 2018
ISBN 10: 3319835793 ISBN 13: 9783319835792
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 53,49
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools. Offering a broad overview of recent trends in aggregation research, it complements any study in statistical or machine learning techniques. Readers will learn how to program key functions in R without obtaining an extensive programming background.Sections of the textbook cover background information and context, aggregating data with averaging functions, power means, and weighted averages including the Borda count. It explains how to transform data using normalization or scaling and standardization, as well as log, polynomial, and rank transforms. The section on averaging with interaction introduces OWS functions and the Choquet integral, simple functions that allow the handling of non-independent inputs. The final chapters examine software analysis with an emphasis on parameter identification rather than technical aspects.This textbook is designed for students studying computer science or business who are interested in tools for summarizing and interpreting data, without requiring a strong mathematical background. It is also suitable for those working on sophisticated data science techniques who seek a better conception of fundamental data aggregation. Solutions to the practice questions are included in the textbook. 212 pp. Englisch.
Publicado por Springer International Publishing, 2018
ISBN 10: 3319835793 ISBN 13: 9783319835792
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 47,23
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides an overview of aggregation functionsIncludes hands-on tutorials on how to program the functions covered in R without needing extensive programming coursesDoes not assume a mathematics backg.
Publicado por Springer International Publishing, 2016
ISBN 10: 3319467611 ISBN 13: 9783319467610
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 68,62
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Añadir al carritoGebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides an overview of aggregation functionsIncludes hands-on tutorials on how to program the functions covered in R without needing extensive programming coursesDoes not assume a mathematics backg.
Publicado por Springer International Publishing Nov 2016, 2016
ISBN 10: 3319467611 ISBN 13: 9783319467610
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 80,24
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools. Offering a broad overview of recent trends in aggregation research, it complements any study in statistical or machine learning techniques. Readers will learn how to program key functions in R without obtaining an extensive programming background.Sections of the textbook cover background information and context, aggregating data with averaging functions, power means, and weighted averages including the Borda count. It explains how to transform data using normalization or scaling and standardization, as well as log, polynomial, and rank transforms. The section on averaging with interaction introduces OWS functions and the Choquet integral, simple functions that allow the handling of non-independent inputs. The final chapters examine software analysis with an emphasis on parameter identification rather than technical aspects.This textbook is designed for students studying computer science or business who are interested in tools for summarizing and interpreting data, without requiring a strong mathematical background. It is also suitable for those working on sophisticated data science techniques who seek a better conception of fundamental data aggregation. Solutions to the practice questions are included in the textbook. 212 pp. Englisch.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 104,77
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Añadir al carritoCondición: New. Print on Demand pp. 199.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 104,86
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Añadir al carritoCondición: New. Print on Demand pp. 209.