Intersection of Machine Learning and Computational Social Sciences

...


Engels | 20-08-2026 | 356 pagina's

9781032821177

Hardback


222,25

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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.

Details

EAN :9781032821177
Auteur : 
Uitgever :Taylor & Francis Group Limited
Publicatie datum :  20-08-2026
Uitvoering :Hardback
Taal/Talen : Engels
Status :Nog niet beschikbaar
Aantal pagina's :356
Reeks :  Future Generation Information Systems