因果推断在腾讯游戏中的应用

摘要

The article discusses the application of the panel double difference model in large-scale data inference tasks and explores task splitting, distributed strategy methods, and empirical summaries. The author emphasizes the importance of adapting methods to specific tasks and scenarios, and the need for standardization of methods and adaptability to large data and platforms. The article was published on the DataFun platform, which focuses on sharing and exchanging knowledge on big data and artificial intelligence technologies. DataFunTalk has produced over 800 original articles, with millions of views and over 150,000 accurate followers. The author invites readers to share, like, and follow the platform.

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