Game Data Science

Game Data Science
14 Oct. 2021
Author: Magy Seif El-Nasr,Truong-Huy D. Nguyen,Alessandro Canossa,Anders Drachen (Author)

Publisher Finelybook 出版社:OUP Oxford (14 Oct. 2021)
Language 语言:English
pages 页数:416 pages
ISBN-10 书号:0192897888
ISBN-13 书号:9780192897886

Book Description
Game data science, defined as the practice of deriving insights from game data, has created a revolution in the multibillion-dollar games industry – informing and enhancing production, design, and development processes. Almost all game companies and academics have now adopted some type of game
data science, every tool utilized Author: game developers allows collecting data from games, yet there has been no definitive resource for academics and professionals in this rapidly developing sector until now.

Games Data Science delivers an excellent introduction to this new domain and provides the definitive guide to methods and practices of computer science, analytics, and data science as applied to video games. It is the ideal resource for academic students and professional learners seeking to
understand how data science is used within the game development and production cycle, as well as within the interdisciplinary field of games research.

Organized into chapters that integrate laboratory and game data examples, this book provides a unique resource to train and educate both industry professionals and academics about the use of game data science, with practical exercises and examples on how such processes are implemented and used in
academia and industry, interweaving theoretical learning with practical application throughout.


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