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Intersection of Machine Learning and Computational Social Sciences - Future Generation Information Systems
Intersection of Machine Learning and Computational Social Sciences - Future Generation Information Systems
The text discusses theoretical background of algorithms and applications of methods using social science problems. It explores different machine-learning approaches to tackle the current issues in the digital world by analyzing social networks. It discusses topics such as principles of semi-supervised learning, and reinforcement algorithms.
| 介质类型 | 图书 Hardcover Book (精装硬皮书) |
| 已发行 | 2026年6月15日 |
| ISBN13 | 9781032821177 |
| 出版商 | Taylor & Francis Ltd |
| 页数 | 356 |
| 商品尺寸 | 150 × 220 × 20 mm · 840 g |
| 编辑 | Bouktif, Salah |
| 编辑 | Khanday, Akib Mohi Ud Din |
| 编辑 | Rabani, Syed Tanzeel |
| 编辑 | Wajid, Mohd Anas |
