Machine Learning on Source Code
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source{d} is building the open-source components to enable large-scale code analysis and machine learning on source code. Their powerful tools can ingest all of the world’s public git repositories turning code into ASTs ready for machine learning and other analyses, all exposed through a flexible and friendly API. Francesc Campoy, VP of Developer Relations at [source{d}](https://sourced.tech/), will show you how to run machine learning on source code with a series of live demos.
Transcript
source{d} is building the open-source components to enable large-scale code analysis and machine learning on source code.
Their powerful tools can ingest all of the world’s public git repositories turning code into ASTs ready for machine learning and other analyses, all exposed through a flexible and friendly API.
Francesc Campoy, VP of Developer Relations at source{d}, will show you how to run machine learning on source code with a series of live demos.
About the speakers
Gopher, Host of the Just For Func Podcast, and VP of Developer Relations at source{d}