Soft Methods for Data Science

Ferraro, Maria Brigida (Editor)/ Giordani, Paolo (Editor)/ Vantaggi, Barbara (Editor)/ Gagolewski, Marek (Editor)/ Gil, Marķa Angeles (Editor)

ISBN 10: 331942971X / ISBN 13: 9783319429717

Published by Springer-Verlag New York Inc, 2016

About this Item

552 pages. 9.25x6.10x0.73 inches. In Stock.

Seller Inventory # x-331942971X

Bibliographic Details

• Title: Soft Methods for Data Science
• Publisher: Springer-Verlag New York Inc
• Publication Date: 2016
• Language: English
• ISBN 10: 331942971X
• ISBN 13: 9783319429717
• Binding: Paperback
• Condition: Brand New

About this title

Synopsis

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.