Soft Methods for Data Science

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Science & Nature, Mathematics, Statistics, General Computing
Cover of the book Soft Methods for Data Science by , Springer International Publishing
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Author: ISBN: 9783319429724
Publisher: Springer International Publishing Publication: August 30, 2016
Imprint: Springer Language: English
Author:
ISBN: 9783319429724
Publisher: Springer International Publishing
Publication: August 30, 2016
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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