Soft Methods for Data Science (Paperback, 1st ed. 2017)


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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Product Description

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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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

Advances in Intelligent Systems and Computing, 456

Release date

August 2016

Availability

Expected to ship within 10 - 15 working days

First published

2017

Editors

, , , , , ,

Dimensions

235 x 155 x 28mm (L x W x T)

Format

Paperback

Pages

535

Edition

1st ed. 2017

ISBN-13

978-3-319-42971-7

Barcode

9783319429717

Categories

LSN

3-319-42971-X



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