Machine Learning on Code

From the creator

Machine Learning + Natural Language Processing + Source Code = code2vec Francesc Campoy (@francesc), VP Developer Relations at source{d} joins us to talk about ML-assisted code review (Lookout) and the Public Git Archive. You’ll learn how and why source{d} makes uses a dataset based on many GitHub repos available as public datasets to train its models and how “assisted code reviews” apply ML, image processing, and NLP concepts – like word2vec – to code. Francesc shares his favorite MLonCode moments, why it’s made him a better developer, what’s coming next, and where you can get started. 00:30 What’s Machine Learning on Code (#MLonCode)? 01:27 How source{d} builds its datasets 02:10 “How ML on Code’s made me a better programmer…” 04:11 What’s “assisted code review”? 04:57 Francesc’s favorite resources Learn more: https://opensource.microsoft.com Create a free Azure account: https://aka.ms/OpenSourceShow/13 Learn more about source{d}: • Blog: https://blog.sourced.tech/ • Lookout: https://sourced.tech/lookout/ • GitHub: https://github.com/src-d • NewStack.io: https://thenewstack.io/sourced-applies-machine-learning-help-companies-manage-code-base/ Get started with #MLonCode: https://github.com/src-d/awesome-machine-learning-on-source-code? Learn more about word2vec: https://towardsdatascience.com/beyond-word-embeddings-part-2-word-vectors-nlp-modeling-from-bow-to-bert-4ebd4711d0ec

Published 2018-12-11 · Watch on YouTube ↗
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