Soft Methods for Data Science
Download or Read eBook Soft Methods for Data Science PDF written by Maria Brigida Ferraro and published by Springer. This book was released on 2016-08-30 with total page 538 pages. Available in PDF, EPUB and Kindle.
| Author | : Maria Brigida Ferraro |
| Publisher | : Springer |
| Total Pages | : 538 |
| Release | : 2016-08-30 |
| ISBN-10 | : 9783319429724 |
| ISBN-13 | : 3319429728 |
| Rating | : 4/5 (24 Downloads) |
Book Synopsis Soft Methods for Data Science by : Maria Brigida Ferraro
Book excerpt: 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.
