Machine Learning on Code

Machine Learning on Code

Update: 2018-12-11
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Description

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.

:30 : What's Machine Learning on Code (#MLonCode)?

 1:27 : How source{d} builds its datasets

 2:13 : "How ML on Code's made me a better programmer..."

 4:11 : What's "assisted code review"?

 4:57 : Francesc's favorite resources

Learn more about Open Source

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Learn more about source{d}:

• Blog: https://blog.sourced.tech/

• Lookout: https://sourced.tech/lookout/

• GitHub: https://github.com/src-d

NewStack.io

Get started with #MLonCode

Learn more about word2vec.

Follow @ francesc

Follow @ lachlanevenson

Follow @openatmicrosoft  

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Machine Learning on Code

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