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Item Details
| Title:
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SOFT METHODS FOR DATA SCIENCE
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| By: |
Maria Brigida Ferraro (Editor), Maria Angeles Gil (Editor), Przemyslaw Grzegorzewski (Editor) |
| Format: |
Paperback |
| List price:
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£249.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
331942971X |
| ISBN 13: |
9783319429717 |
| Publisher: |
SPRINGER INTERNATIONAL PUBLISHING AG |
| Pub. date: |
30 July, 2016 |
| Series: |
Advances in Intelligent Systems and Computing 456 |
| Pages: |
535 |
| 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. |
| Illustrations: |
40 black & white illustrations, 30 colour illustrations, biography |
| Publication: |
Switzerland |
| Imprint: |
Springer International Publishing AG |
| Returns: |
Returnable |
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