Game data science / Magy Seif El-Nasr, Alessandro Canossa, Truong-Huy D. Nguyen, and Anders Drachen.

By: El-Nasr, Magy Seif [author.]Contributor(s): Canossa, Alessandro [author.] | Nguyen, Truong-Huy D [author.] | Drachen, Anders [author.] | Oxford Scholarship Online - EBAMaterial type: TextTextSeries: Oxford scholarship onlinePublisher: Oxford : Oxford University Press, 2021Edition: First editionDescription: 1 online resource (416 pages) : illustrations (black and white, and colour)Content type: text | still image Media type: computer Carrier type: online resourceISBN: 9780191919466 (ebook) :Subject(s): Video games -- Data processing | Computer games -- Data processing | Data mining | Quantitative researchAdditional physical formats: Print version :: No titleDDC classification: 794.816312 LOC classification: GV1469.34Online resources: e-book Full-text access Summary: 'Games Data Science' provides an introduction to this new domain, outlining the methods and practices of computer science, analytics and data science as applied to video games.
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E-Books MEF eKitap Kütüphanesi
Oxford Scholarship Online eBook - EBA GV1469.34 (Browse shelf (Opens below)) Available OSO5

This edition also issued in print: 2021.

Includes bibliographical references and index.

'Games Data Science' provides an introduction to this new domain, outlining the methods and practices of computer science, analytics and data science as applied to video games.

Specialized.

Description based on online resource; title from home page (viewed on October 6, 2021).