M. S. El-Nasr, Truong Huy Nguyen Dinh, Alessandro Canossa, Anders Drachen
{"title":"Conclusions and Remarks","authors":"M. S. El-Nasr, Truong Huy Nguyen Dinh, Alessandro Canossa, Anders Drachen","doi":"10.1201/b21590-11","DOIUrl":null,"url":null,"abstract":"This chapter summarizes the takeaways from the different chapters of this book on the game data science process we introduced in Chapter 1. It shares some notes and experiences that can help you when embarking on using the methods discussed in this book. As a conclusion chapter, it will also delve into important topics that are not discussed in other chapters in this book, such as ethics, reproducibility problems, dealing with distributed big data, building bots from game data, using probabilistic models, etc. The chapter will also discuss the overall applications of game data science within the production process and will conclude by discussing where we see the future of the field going.","PeriodicalId":137223,"journal":{"name":"Game Data Science","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Game Data Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1201/b21590-11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This chapter summarizes the takeaways from the different chapters of this book on the game data science process we introduced in Chapter 1. It shares some notes and experiences that can help you when embarking on using the methods discussed in this book. As a conclusion chapter, it will also delve into important topics that are not discussed in other chapters in this book, such as ethics, reproducibility problems, dealing with distributed big data, building bots from game data, using probabilistic models, etc. The chapter will also discuss the overall applications of game data science within the production process and will conclude by discussing where we see the future of the field going.