Soft Methods for Data Science

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Éditeur :

Springer


Collection :

Advances in Intelligent Systems and Computing

Paru le : 2016-08-30

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Description

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.
Pages
535 pages
Collection
Advances in Intelligent Systems and Computing
Parution
2016-08-30
Marque
Springer
EAN papier
9783319429717
EAN PDF
9783319429724

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
53
Taille du fichier
11889 Ko
Prix
210,99 €
EAN EPUB
9783319429724

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
53
Taille du fichier
8786 Ko
Prix
210,99 €