Game Theory for Data Science

Explore the fascinating intersection of game theory and data science in Game Theory for Data Science by Boi Mirsky. Published by Springer International Publishing AG in 2017, this insightful paperback spans 135 pages, providing a comprehensive overview of how intelligent systems leverage data from various information agents, including sensor data and crowdsourced human computation. This book is ideal for data scientists, researchers, and anyone interested in understanding the strategic decision-making processes that underpin modern intelligent systems. Dive into the world of game theory and discover how it can enhance your data science projects and applications.