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Data Skeptic
Data Scientists View Quality Control
i learned how data scientists view quality control. How do we view it? Ah, e just use different vocabulary. We view it statistically. But we didn't really go into statistics here. I'm only some of your audience. Some people like me. Some dislike me. Aha, if we take for granted that the podcast is improving as i get practice and work harder at the show, then i would want a use differencing to study the week to week ups and downs. That's partially why stationart is very important. It allows us to do inferencing and make good statistical predictions on a time series that happens to be stationary or one we can make stationary through differen
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