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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.
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2026. gada 14. jūnijs |
| ISBN13 | 9781032821177 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 356 |
| Izmēri | 150 × 220 × 20 mm · 840 g |
| Redaktors | Bouktif, Salah |
| Redaktors | Khanday, Akib Mohi Ud Din |
| Redaktors | Rabani, Syed Tanzeel |
| Redaktors | Wajid, Mohd Anas |
