Wednesday Apr 25
4:15 PM –
4:45 PM
Room 205-206
Delivering AI on Code: Live Demo of source{d}
Slides:
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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}, will show you how to run machine learning on source code with a series of live demos.
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Exploring StackOverflow DataEvelina GabasovaWednesday Apr 25 @ 11:15 AM
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Developing a ML modelKevin TsaiWednesday Apr 25 @ 1:00 PM
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Production Model DeploymentJuliet HouglandWednesday Apr 25 @ 3:15 PM
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Life and Death Decisions: Testing Data SciencePhil WinderWednesday Apr 25 @ 2:00 PM
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Relating to Machine LearningStefan Veis PennerupWednesday Apr 25 @ 10:15 AM
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Delivering AI on Code: Live Demo of source{d}Francesc CampoyWednesday Apr 25 @ 4:15 PM