Soft Methods for Data Science
. Ed(S): Ferraro, Maria Brigida; Angeles Gil, Maria; Grzegorzewski, Przemyslaw; Hryniewicz, Olgierd
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Description for Soft Methods for Data Science
Paperback. Editor(s): Ferraro, Maria Brigida; Angeles Gil, Maria; Grzegorzewski, Przemyslaw; Hryniewicz, Olgierd. Series: Advances in Intelligent Systems and Computing. Num Pages: 551 pages, 40 black & white illustrations, 30 colour illustrations, biography. BIC Classification: PBT; UYAM; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 28. Weight in Grams: 836.
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.
Product Details
Format
Paperback
Publication date
2016
Publisher
Springer International Publishing AG Switzerland
Number of pages
551
Condition
New
Series
Advances in Intelligent Systems and Computing
Number of Pages
535
Place of Publication
Cham, Switzerland
ISBN
9783319429717
SKU
V9783319429717
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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