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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.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Pendiente de lanzamiento | 15 de junio de 2026 |
| ISBN13 | 9781032821177 |
| Editores | Taylor & Francis Ltd |
| Páginas | 356 |
| Dimensiones | 150 × 220 × 20 mm · 693 g |
| Editor | Bouktif, Salah |
| Editor | Khanday, Akib Mohi Ud Din |
| Editor | Rabani, Syed Tanzeel |
| Editor | Wajid, Mohd Anas |
