Machine learning on source code

Sep 18, 2017 · San Francisco, United States of America

Talk title: Machine Learning on source code, exploring the links with natural language

Abstract: A behind the scene look into several machine learning projects on large scale source code analysis (15mm git repositories) that have been inspired by the latest work on NLP with neural networks. 

Speaker: Eiso Kant (source{d})

Bio: I am an entrepreneur and self-taught developer with a passion for neural networks and functional programming. I am currently working with a great team at source{d} on making AI on code happen. I am based half of my time in the Bay Area and the other half in Madrid, Spain.

Thanks to the O'Reilly AI Conference for providing the venue!

Schedule

7:00 - 7:15 Arrive + discussions / etc

7:15 - 8:00 Main talk

8:00 - 8:15 Q&A

8:15 - 8:45 Discussions / etc

8:45 start leaving because we have a hard stop at 9:00

Event organizers
  • SF Bayarea Machine Learning

    A group to discuss all things Machine Learning! Topics may include (but are not limited to): learning theory, computer vision, natural language processing, data mining, computer audition, etc. Everyone is welcome! Videos of past meetups  • on Hakka Labs • on Vimeo Other local Machine Learning groups: https://www.noisebridge.net/index.php?title=Machine_Learning  

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