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Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods - European Association of Methodology Series 1st edition
Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods - European Association of Methodology Series
The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches.
432 pages, 102 Line drawings, black and white; 33 Tables, black and white; 102 Illustrations, black
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | November 17, 2021 |
| ISBN13 | 9781032077703 |
| Publishers | Taylor & Francis Ltd |
| Pages | 412 |
| Dimensions | 245 × 174 × 45 mm · 836 g |
| Language | English |
| Editor | Engel, Uwe (University of Bremen, Germany) |
| Editor | Liu, Sunny |
| Editor | Lyberg, Lars |
| Editor | Quan-Haase, Anabel |