#datasicience: what’s the right question?
#machinelearning: what’s the optimal answer?
#statistics: is it true?
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Replying to @kareem_carr
Did you see my earlier question about these three? Highly unlikely, I know. But wow. This is right on target with my recently tweeted question.
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Replying to @Point_O_Five
Yeah. I thought maybe you wanted something more formal like references etc.
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Replying to @kareem_carr
Well, I am open. It is for my own understanding, but I want an accurate source. Your tweet gives excellent perspective and answers one facet of the question. Past that, if there is/are reliable, accurate source(s), whether in form of book or website or even app, that is okay.
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Replying to @Point_O_Five @kareem_carr
For comparison, and this may not be your thing, but there is (was) a Nutshell Series on various federal laws. Each one in the series was “___ Law in a Nutshell” — so literally named with nutshell! anyway, even if one still read full text of law, nutshell was still helpful.
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Replying to @Point_O_Five @kareem_carr
In my case, I not expect to read full text of everything on all three things I asked about! I have read stats sources over the years and may read other topics. But I would love a summary of each of the three along with comparisons, whether several pages or much longer.
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Replying to @Point_O_Five @kareem_carr
Still, your tweet on these three was really cool and very helpful. I am thinking what a coincidence!
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Replying to @Point_O_Five
Machine learning & data science evolve quickly and aren't very formalized. To talk about them one needs not only technical understanding, but a historian/anthropologist/sociologist's ability to trace and summarize primary sources. It is a massive task.
@generativist@kccarrell3 replies 1 retweet 4 likes -
I thought it was a pretty good decomposition, at least in ideal cases. For machine learning and statistics, that's a pretty good, crisp boundary (imo). Datascience is the hardest one I think because it's evolving fast and serves as a catch all phrase.
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Not so secretly, I'm cheering on people from your discipline. I want casual findings *and* the ability to generate good questions. At least from an outsiders perspective, your field offers a good mixture of that.
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