Intersection of Machine Learning and Computational Social Sciences

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.

• Format: Hardcover
• Language: English
• ISBN: 1032821175
• ISBN13: 9781032821177
• Release Date: June 2026
• Publisher: CRC Press
• Length: 356 Pages
• Weight: 1.53 lbs.
• Dimensions: 0.9" x 6.1" x 9.2"