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How to effectively test and debug machine learning models, from ML engineer@Apple to startup founder - Gabriel Bayomi - the data scientist show #055
The Data Scientist Show
Build Your Own Framework for Error Analysis
Major: Serving engineers is very tough. Engineers have a lot of opinions. They really want things in a particular way. So I think that was interesting of like building evaluation and error analysis framework for other engineerswas cool. There's a project that I worked on that had no ML, which I thought was cool. It gave me a lot of perspective of like, you know, software engineering work, which was different than the other type of projects. That's why I really like the rotation. I could do kind of everything. And what was the most challenging project to work on? Why you were there? Like in general in Apple.
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