Machine Learning on Source Code
Details
Please sign in at the front door.
ABSTRACT
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. Michael Fromberger will show you how to run machine learning on source code with a series of live demos.
BIO
Michael Fromberger is the Language Analysis Lead at source{d}. Prior to source{d}, Michael was a software engineer at Google, and technical lead/manager for the Kythe open source project (internally named Grok at Google).
SCHEDULE
6:00 - 6:30pm Networking
6:30 - 7:30pm Talk/Demos
7:30 - 8:00pm Networking
About Metis
Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco.
Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science.
Join our Metis Community Slack channel!
Apply here:
http://bit.ly/MetisCommunitySlack
Metis Code of Conduct
Metis is dedicated to providing a harassment-free experience for everyone, regardless of gender identity, age, sexual orientation, disability, physical appearance, body size, race, or religion (or lack thereof).
We do not tolerate harassment of students, staff, or visitors in any form. Sexual language and imagery is not appropriate for any event including talks, workshops, parties, and other online media. Individuals and groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events.
If you have any questions or you're made to feel uncomfortable by anyone on our campus or at one of our offsite events, please let one of the staff members know right away. The matter will be taken seriously and promptly addressed.