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Shulph Ink

Intersection of Machine Learning and Computational Social Sciences

Intersection of Machine Learning and Computational Social Sciences

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  • More about Intersection of Machine Learning and Computational Social Sciences

Format: Hardback
Length: 356 pages
Publication date: 14 June 2026
Publisher: Taylor & Francis Ltd

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.

Weight: 840g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032821177

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