ML on code: Machine learning will change programming
Machine learning has revolutionized many fields, from cancer detection to self-driving cars. And let's not forget about connected toilets that allow Alexa to flush at your command. Francesc Campoy Flores explores some of the techniques used and the most relevant research, focusing on use cases where machine learning can help developers be more efficient.
Talk Title | ML on code: Machine learning will change programming |
Speakers | Francesc Campoy (Dgraph) |
Conference | Velocity |
Conf Tag | Build resilient systems at scale |
Location | New York, New York |
Date | September 20-22, 2016 |
URL | Talk Page |
Slides | Talk Slides |
Video | Talk Video |
Machine learning has revolutionized many fields, from cancer detection to self-driving cars. And let’s not forget about connected toilets that allow Alexa to flush at your command. Researchers have been working on applying machine learning to source code to predict bugs, find patterns in code, and much more. Source{d} is building products applying this research to improve day-to-day developer tasks. Francesc Campoy Flores explores some of the techniques used and the most relevant research, focusing on use cases where machine learning can help developers be more efficient.