Five Annoyingly Misused Words in Data Science

Watch your language if you want to have impact

Keith McNulty
5 min readMar 20

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Photo by Julien L on Unsplash

As we all know, data science as a discipline is very new to our world. This makes it a very exciting field in which to work. But it also creates problems. Today I want to talk about one of those problems which I deal with all the time: using the wrong language to describe data science results or concepts.

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Keith McNulty

Expert and Author in Applied Mathematics, Data Science, Statistics. Also writes History, Science, Culture. Find me on Twitter or keithmcnulty.org