Soft Methods for Data Science

Maria Brigida Ferraro

ISBN 10: 331942971X / ISBN 13: 9783319429717

Editore: Springer International Publishing AG, CH, 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.

Codice articolo LU-9783319429717

Dati bibliografici

• Titolo: Soft Methods for Data Science
• Editore: Springer International Publishing AG, CH
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 331942971X
• ISBN 13: 9783319429717
• Rilegatura: Paperback
• Edizione: 1st ed. 2017.
• Condizione: New

Descrizione articolo

Riassunto

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.