How GitHub is using data science
In this third webinar in the Data Science Series, we have a conversation with the GitHub data science team to learn more about what they are working on.
Like many successful companies, GitHub is increasingly leveraging data science to turn insights into action. Whether it’s by complementing your workflow, identifying work you’re interested in, helping you write better code, or enabling you to fix bugs faster, we want to make your GitHub experience unique to you.
In the final webcast of our data science series, we’ll be joined by members of the GitHub data science team to discuss:
- Their objectives and what they’ve recently shipped
- How they help make developers more productive
- Ways to make your GitHub experience more personalized
- Their views on the impact of data science today and how it will continue to help shape the future of software development
If you’re a data scientist looking for ways to improve your practice, or just curious about how data science works at GitHub, join Bas Peters, Solutions Engineer at GitHub, and two of our Senior Data Scientists - Machine Learning, Omoju Miller and and Ben Thompson for a 30-minute webcast to discuss how GitHub is using data science to support their workflow.
Want to watch the other webcasts of our Data Science series?
Speaker
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Bas Peters
Solutions Engineer, GitHub