Soft Methods for Data Science

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

ISBN 10: 331942971X / ISBN 13: 9783319429717

Editore: Springer-Verlag New York Inc, 2016

Riguardo questo articolo

552 pages. 9.25x6.10x0.73 inches. In Stock. Codice articolo x-331942971X

Dati bibliografici

Titolo: Soft Methods for Data Science

Casa editrice: Springer-Verlag New York Inc

Data di pubblicazione: 2016

Legatura: Paperback

Condizione: Brand 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.