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I’ve come to be somewhat known as a “math guy” in creative coding. It’s one of my impostor syndrome items because I’m really not any kind of expert in the field

I feel similarly about statistics. I of course, given my line of work, have a solid foundation there. But my area of expertise is... more complicated to explain or define. When it comes to statistics expertise though, apart from a solid foundation I simply know enough to know what tools to use, and how to research and evaluate such tools. For example, in a recent project I knew that LSTM was an appropriate tool, but I don't know more than a high level abstraction of how it works and the domain of problems it might help solve.

To give a very basic example sort of like knowing when to use the Pythagorean theorem but not knowing enough to prove it up from axioms.



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