Game Data Science

Game Data Science – Ebook Instant Download/Delivery ISBN(s): 9780192897879,9780192897886,019289787X,0192897888,9780192652713, 0192652710

Product details:

• ISBN-10 ‏ : ‎ 0192652710
• ISBN-13 ‏ : ‎ 9780192652713
• Author: Magy Seif El-Nasr, Truong-Huy D. Nguye, Alessandro Canoss,  Anders Drachen

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 by 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.

Table contents:

Chapter 1: Game Data Science: An Introduction

Chapter 2: Data Preprocessing

Chapter 3: Introduction to Statistics and Probability Theory

Chapter 4: Data Abstraction

Chapter 5: Data Analysis through Visualization

Chapter 6: Clustering Methods in Game Data Science

Chapter 7: Supervised Learning in Game Data Science

Chapter 8: Supervised Learning in Game Data Science: Model Validation and Evaluation

Chapter 9: Neural Networks

Chapter 10: Sequence Analysis of Game Data

Chapter 11: Advanced Sequence Analysis

Chapter 12: Case Study: Social Network Analysis Applied to In-game Communities to Identify Key Socia

Chapter 13: Conclusions and Remarks

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