Soft Methods for Data Science is popular PDF and ePub book, written by Maria Brigida Ferraro in 2016-08-30, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Soft Methods for Data Science can be Read Online from any device for your convenience.
Soft Methods for Data Science Book PDF Summary
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.
Detail Book of Soft Methods for Data Science PDF
- Author : Maria Brigida Ferraro
- Release : 30 August 2016
- Publisher : Springer
- ISBN : 9783319429724
- Genre : Technology & Engineering
- Total Page : 538 pages
- Language : English
- PDF File Size : 12,5 Mb
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