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What do Developers Know About Machine Learning: A Study of ML Discussions on StackOverflow

机译:开发人员了解机器学习的内容:对stackoverflow的ML讨论研究

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Machine learning, a branch of Artificial Intelligence, is now popular in software engineering community and is successfully used for problems like bug prediction, and software development effort estimation. Developers' understanding of machine learning, however, is not clear, and we require investigation to understand what educators should focus on, and how different online programming discussion communities can be more helpful. We conduct a study on Stack Overflow (SO) machine learning related posts using the SOTorrent dataset. We found that some machine learning topics are significantly more discussed than others, and others need more attention. We also found that topic generation with Latent Dirichlet Allocation (LDA) can suggest more appropriate tags that can make a machine learning post more visible and thus can help in receiving immediate feedback from sites like SO.
机译:机器学习,人工智能分支,现在流行于软件工程界,并成功地用于错误预测等问题,以及软件开发工作估计。然而,开发人员对机器学习的理解尚不清楚,我们需要调查,了解教育者应该关注哪些教育者,以及不同的在线编程讨论社区如何更有用。我们使用STORTORD DataSet对堆栈溢出(SO)机器学习相关帖子进行研究。我们发现一些机器学习主题比其他机器更加讨论,而其他机器则需要更多关注。我们还发现,具有潜在Dirichlet分配(LDA)的主题生成可以提出更合适的标签,可以使机器学习帖子更加可见,因此可以帮助您从等网站接收立即反馈。

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