Intersection of Machine Learning and Computational Social Sciences
...
Engels | 21-05-2026 | 356 pagina's
9781032821177
Hardback
222,25
Nog niet beschikbaar, beschikbaar op 21/05/2026
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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.
Beschrijving
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.
Details
| EAN : | 9781032821177 |
| Uitgever : | Taylor & Francis |
| Publicatie datum : | 21-05-2026 |
| Uitvoering : | Hardback |
| Taal/Talen : | Engels |
| Status : | Nog niet beschikbaar |
| Aantal pagina's : | 356 |
| Reeks : | Future Generation Information Systems |