Description
Book SynopsisGames 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.
Trade ReviewGame Data Science describes practical techniques to analyze user data, which can be used to drive decision-making at multiple levels. Analyzing user game data can offer designers and publishers useful insights that inform decision-making processes from the very early stages of game design, through the marketing process, to potential patches and updates. * Christopher Bartel, Metascience *
The book is certainly invaluable. Game Data Science offers a practical guide to the currently available analytical tools. It will establish itself as foundational work in the field. * Christopher Bartel, Metascience *
The book is certainly invaluable. Game Data Science offers a practical guide to the currently available analytical tools. It will establish itself as a foundational work in the field. * Christopher Bartel, Metascience *
Table of ContentsChapter 1: Game Data Science: an Introduction Chapter 2: Data Pre-Processing Chapter 3: Introduction to Statistics and Probability Theory Chapter 4: Data Abstraction Chapter 5: Visual Analytics of Game Data Chapter 6: Clustering Methods in Game Data Science Chapter 7: Supervised Learning in Game Data Science Chapter 8: Model Evaluation and Validation Chapter 9: Neural Networks Chapter 10: Sequence Analysis of Game Data Chapter 11: Advanced Sequence Analysis Chapter 12: Social Network Analysis Chapter 13: Conclusions and Final Remarks
