Paige is the director of Machine learning and machine learning operations, aka MLOps, at GitHub. Before that, she was a principal product manager at Microsoft and also worked on DeepMind and Google Brain. Paige has had over a decade of experience with machine learning and data science as a practitioner.
Links:
Shownotes:
[00:01 – 10:53] Opening Segment
- Check out my latest project: Awesome Code Reviews!
- Visit https://www.awesomecodereviews.com/ to find articles about code reviews, best practices, code review checklist, news about the latest research and code reviews, and workshops and courses about this topic
- Get a chance to try out GitHub Codespaces and other extensions like GitHub Copilot!
- Like and retweet today's episode, and for an additional chance to win, you can also leave a comment about what kind of data science work you're currently doing or what you like to do
- The responsibilities of a director of machine learning and machine learning operations
- Demystifying the process of reviewing complicated data science code
[10:54 – 20:54] A Helpful Collaborator As You Write Codes
- How GitHub Copilot becomes your partner and collaborator when writing codes
- It is an extension for VS Code and generates source code
- Learning from test cases and how code reviewers can perform a better job
- Acquiring accurate code snippets through understanding the specific requirements
- The strive for consistent performance across every single kind of language
[20:55 – 35:25] Expanding Feature Capabilities for Optimal Functionality
- The beginning of deep learning techniques application
- This targets detecting security vulnerabilities through code reviews
- It also provides recommendations for extracting functions from blocks of code
- Encouraging consistency in names and styles
- Take note: Microsoft is hiring!
- Striking the balance with deep understanding of data-driven and quantitative approaches
- Data can tell us about users who are already using our tools, but not about those who haven't tried them yet
- The key is to remain curious and constantly seek to better understand users
[35:26 – 37:52] Closing Segment
- Paige’s recommendation for you
- Try out GitHub for your machine learning projects!
- Final words
Resources Mentioned:
Tiferet's work, using machine learning to detect security vulnerabilities in source code.
VS Code's Python extension and Jupyter extension.
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