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Intersection of Machine Learning and Computational Social Sciences - Future Generation Information Systems
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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.
| Media | Bøker Innbunden bok (Bok med hard rygg og stivt omslag) |
| Utgitt | 14. juni 2026 |
| ISBN13 | 9781032821177 |
| Utgivere | Taylor & Francis Ltd |
| Antall sider | 356 |
| Mål | 150 × 220 × 20 mm · 840 g |
| Redaktør | Bouktif, Salah |
| Redaktør | Khanday, Akib Mohi Ud Din |
| Redaktør | Rabani, Syed Tanzeel |
| Redaktør | Wajid, Mohd Anas |
