Soft Methods for Data Science: 456 (Advances in Intelligent Systems and Computing) - Tapa blanda

9783319429717: Soft Methods for Data Science: 456 (Advances in Intelligent Systems and Computing)

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ISBN 10: 331942971X ISBN 13: 9783319429717

Editorial: Springer, 2016

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This proceedings volume is a collection of peer reviewed papers presented at the 8th International Conference on Soft Methods in Probability and Statistics (SMPS 2016) held in Rome (Italy).

The book is dedicated to Data science which aims at developing automated methods to analyze massive amounts of data and to extract knowledge from them. It shows how Data science employs various programming techniques and methods of data wrangling, data visualization, machine learning, probability and statistics. The soft methods proposed in this volume represent a collection of tools in these fields that can also be useful for data science.

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EditorialSpringer
A�o de publicaci�n2016
ISBN 10 331942971X
ISBN 13 9783319429717
Encuadernaci�nTapa blanda
IdiomaIngl�s
N�mero de edici�n1
N�mero de p�ginas552
EditorFerraro Maria Brigida, Giordani Paolo, Vantaggi Barbara

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Advances in Intelligent Systems and Computing: Soft Methods for Data Science

Ferraro, M.B. et al

Publicado por Springer, 2017

ISBN 10: 331942971X ISBN 13: 9783319429717

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Condici�n: Good. Volume 456. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,950grams, ISBN:9783319429717. N� de ref. del art�culo: 9873695

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Soft Methods for Data Science (Advances in Intelligent Systems and Computing, 456)

Publicado por Springer, 2016

ISBN 10: 331942971X ISBN 13: 9783319429717

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Soft Methods for Data Science

Publicado por Springer International Publishing, 2016

ISBN 10: 331942971X ISBN 13: 9783319429717

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Kartoniert / Broschiert. Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Latest research on Data Analysis and Soft ComputingResults of the 8th International Conference on Soft Methods in Probability and Statistics (SMPS 2016) held in Rome (Italy) by September 12-14, 2016Gives a comprehensive overview of current r. N� de ref. del art�culo: 122899993

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Soft Methods for Data Science

Maria Brigida Ferraro

Publicado por Springer International Publishing Jul 2016, 2016

ISBN 10: 331942971X ISBN 13: 9783319429717

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This proceedings volume is a collection of peer reviewed papers presented at the 8th International Conference on Soft Methods in Probability and Statistics (SMPS 2016) held in Rome (Italy). The book is dedicated to Data science which aims at developing automated methods to analyze massive amounts of data and to extract knowledge from them. It shows how Data science employs various programming techniques and methods of data wrangling, data visualization, machine learning, probability and statistics. The soft methods proposed in this volume represent a collection of tools in these fields that can also be useful for data science. 552 pp. Englisch. N� de ref. del art�culo: 9783319429717

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Soft Methods for Data Science

Maria Brigida Ferraro

Publicado por Springer International Publishing, 2016

ISBN 10: 331942971X ISBN 13: 9783319429717

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Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - This proceedings volume is a collection of peer reviewed papers presented at the 8th International Conference on Soft Methods in Probability and Statistics (SMPS 2016) held in Rome (Italy). The book is dedicated to Data science which aims at developing automated methods to analyze massive amounts of data and to extract knowledge from them. It shows how Data science employs various programming techniques and methods of data wrangling, data visualization, machine learning, probability and statistics. The soft methods proposed in this volume represent a collection of tools in these fields that can also be useful for data science. N� de ref. del art�culo: 9783319429717

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