Intersection of Machine Learning and Computational Social Sciences

...


Engels | 21-05-2026 | 356 pagina's

9781032821177

Hardback


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Tekst achterflap

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
Auteur : 
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