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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.
| Media | Boeken Hardcover Book (Boek met harde rug en kaft) |
| Vrijgegeven | 14 juni 2026 |
| ISBN13 | 9781032821177 |
| Uitgevers | Taylor & Francis Ltd |
| Pagina's | 356 |
| Afmetingen | 150 × 220 × 20 mm · 840 g |
| Uitgever | Bouktif, Salah |
| Uitgever | Khanday, Akib Mohi Ud Din |
| Uitgever | Rabani, Syed Tanzeel |
| Uitgever | Wajid, Mohd Anas |