DataFramed

#29 Machine Learning & Data Science at Github

July 02, 2018 Season 1 Episode 29
DataFramed
#29 Machine Learning & Data Science at Github
Chapters
DataFramed
#29 Machine Learning & Data Science at Github
Jul 02, 2018 Season 1 Episode 29
DataCamp
What is the role of data science in product development at github, what does it means to “use computation to build products to solve real-life decision making, practical challenges” and what does building data products at github actually looks like?
Show Notes
Omoju Miller, a Senior Machine Learning Data Scientist with Github, speaks with Hugo about the role of data science in product development at github, what it means to “use computation to build products to solve real-life decision making, practical challenges” and what building data products at github actually looks like. Machine learning has the power to automate so much of the drudgery around data science & software engineering, from automated code review to flagging security vulnerabilities in code, and from recommending repositories to contributors to matching issues with maintainers and contributors and identifying duplicate issues. And just in case that’s not enough, they'll discuss github as a platform for work, not just technical, and, as Omoju has called it, “a collaborative work environment centered around humans.”

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