Machine Learning on Source Code

This talk originates from the archive. To the CURRENT program
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Wednesday, December 5 2018
16:30 - 17:00

Machine Learning on Source Code (MLoSC) is an emerging and exciting domain of research which stands at the sweet spot between deep learning, natural language processing, social science and programming. We’ve accumulated petabytes of source code data that is open, yet there have been few attempts to fully leverage the knowledge that is sealed inside. This talk gives an introduction into the current trends in MLoSC and presents the tools and some of the applications, such as deep code suggestions and structural embeddings for fuzzy deduplication, how to gain insights from your projects and ML at pull request level to improve the daily life of developers.

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