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Spiel Data Science von Alessandro Canossa (englisch) Taschenbuch Buch-

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Game Data Science by Alessandro Canossa (English) Paperback Book
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Zuletzt aktualisiert am 28. Mai. 2024 23:26:46 MESZAlle Änderungen ansehenAlle Änderungen ansehen

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ISBN-13
9780192897886
Book Title
Game Data Science
ISBN
9780192897886
Publication Year
2021
Type
Textbook
Format
Trade Paperback
Language
English
Publication Name
Game Data Science
Item Height
0.7in
Author
Anders Drachen, Truong-Huy D. Nguyen, Alessandro Canossa, Magy Seif El-Nasr
Item Length
9.6in
Publisher
Oxford University Press, Incorporated
Item Width
6.1in
Item Weight
24.9 Oz
Number of Pages
416 Pages

Über dieses Produkt

Product Information

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. 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.

Product Identifiers

Publisher
Oxford University Press, Incorporated
ISBN-10
0192897888
ISBN-13
9780192897886
eBay Product ID (ePID)
28050029036

Product Key Features

Author
Anders Drachen, Truong-Huy D. Nguyen, Alessandro Canossa, Magy Seif El-Nasr
Publication Name
Game Data Science
Format
Trade Paperback
Language
English
Publication Year
2021
Type
Textbook
Number of Pages
416 Pages

Dimensions

Item Length
9.6in
Item Height
0.7in
Item Width
6.1in
Item Weight
24.9 Oz

Additional Product Features

Lc Classification Number
Gv1469.34
Reviews
"Game 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, "Game 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, Game 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., "Game 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, "Game 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
Table of Content
Chapter 1: Game Data Science: an IntroductionChapter 2: Data Pre-ProcessingChapter 3: Introduction to Statistics and Probability TheoryChapter 4: Data AbstractionChapter 5: Visual Analytics of Game DataChapter 6: Clustering Methods in Game Data ScienceChapter 7: Supervised Learning in Game Data ScienceChapter 8: Model Evaluation and ValidationChapter 9: Neural NetworksChapter 10: Sequence Analysis of Game DataChapter 11: Advanced Sequence AnalysisChapter 12: Social Network Analysis
Topic
Computer Science, Intelligence (Ai) & Semantics, General, Video & Electronic
Lccn
2021-932524
Dewey Decimal
794.8/1
Intended Audience
Trade
Dewey Edition
23
Illustrated
Yes
Genre
Computers, Games & Activities, Sports & Recreation

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