You could say this solution is very *convoluted*
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Hot take: FizzBuzz is a perfectly suitable test problem for when you’re want to test a new configuration and need a non-trivial but simple exercise to ensure things like imports, outputs, args, etc are working. It’s still shit for interviews
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It’s easy to test against, it pretty quickly shows if you have e.g. a configuration issue, and creative solutions are good mental exercises in otherwise tedious work
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But what’s relevant here is that there are a few concepts that are used widely in data science and it brings them from an abstract notion to something concrete. In this case, cyclic behavior has a natural relation to polynomials and to 1D vector convolutions.
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1-D convolutions neural networks use such convolutions, and they’re being used for text process and other applications where recurrent neural nets have found some success. The underlying relations become a little more clear when you see it in this light.
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And if you take it a step further and recognize that discrete convolutions are related to joint probability distribution functions, then all of a sudden the probabilistic nature of how neural networks work emerges like truth from the well.
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Is it more obnoxious than this:https://github.com/stillinbeta/friendshipismonadic/blob/master/examples/fizzbuzz.fpp …
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Oh my god
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I like this, definitely up there with the tensorflow FizzBuzz
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Tensorflw fizzbuzz was amazing
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I'm sure you've seen this, but just in case... http://joelgrus.com/2016/05/23/fizz-buzz-in-tensorflow/ …
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OMG, my sides hurt.
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I definitely choked on my coffee during my first read of it :-)
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This is highly unnecessary and I enjoy it
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mmmmm don't like this post
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I am both amused and terrified.
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I love it
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This is beautiful
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Beautiful.
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