629: Software for Efficient Data Science
Super Data Science: ML & AI Podcast with Jon Krohn
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Reproducibility in Data Science
A lot of data scientists may be coming from academic backgrounds who don't really tend to think about it in our work. And I can kind of see why it happens, because the usual workflow is not designed for people to actually inspect the data that you used to inspect the code that you used. So yeah, I think it's not necessarily the easiest thing to get into the habit of doing, but it's definitely important. If something really important comes out of your research, you really should be able to reproduce it end to end later.
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