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Soft Methods for Data Science

Soft Methods for Data Science (Paperback)

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Synopsis

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.

Computing & ITComputer scienceArtificial intelligenceComputing & ITComputer scienceMathematical theory of computationMaths for computer scientistsScience & MathematicsMathematicsProbability & statistics Publisher: Springer International Publishing AG Publication Date: 30/07/2016 ISBN-13: 9783319429717  Details: Type: Paperback Format: Books
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