Soft Methods for Data Science
Maria Brigida Ferraro
Verkauft von BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
AbeBooks-Verkäufer seit 11. Januar 2012
Neu - Softcover
Zustand: Neu
Anzahl: 2 verfügbar
In den Warenkorb legenVerkauft von BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
AbeBooks-Verkäufer seit 11. Januar 2012
Zustand: Neu
Anzahl: 2 verfügbar
In den Warenkorb legenThis 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.
Bestandsnummer des Verkäufers 9783319429717
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.
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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