Please respond to this tweet with any mistaken perceptions or practices you had when you first started out doing data science work that you can still remember, even though you're now experienced.
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Oh, also, I used to spend a lot of time looking for problems that I thought people couldn’t do, only machines could. That’s a really foolish filter. Now I look for problems that even a poorly trained person could do but would be bored as fuck doing yet still must be done.
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In your past-self’s defense, many deep learning folks recommend doing this as a kind of diagnostic.
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Yea. And, I've seen cases where it's useful, too. I just think I'm prone to being seduced by it.
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I thought that most of my time would be spent analyzing data and looking for statistical tests to run. Instead, the vast majority of my time is spent acquiring data from stingy data owners and then cleaning it/manipulating it to make it useful.
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