Soft Methods for Data Science (Paperback, 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Advances in Intelligent Systems and Computing, 456
Release date:	August 2016
First published:	2017
Editors:	Maria Brigida Ferraro • Paolo Giordani • Barbara Vantaggi • Marek Gagolewski • Maria Angeles Gil • Przemyslaw Grzegorzewski • Olgierd Hryniewicz
Dimensions:	235 x 155 x 28mm (L x W x T)
Format:	Paperback
Pages:	535
Edition:	1st ed. 2017
ISBN-13:	978-3-319-42971-7
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-42971-X
Barcode:	9783319429717

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