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lucasfcosta.com
| | dfm.io
19.1 parsecs away

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| | svmiller.com
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| | You can't just run a regression, show a table interpreting statistical significance, and call it a day. Here's a guide for how I approach making the most of regression modeling (i.e. two-SD standar...
| | ggcarvalho.dev
13.3 parsecs away

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| | Using the power of randomness to answer scientific questions.
| | michael-lewis.com
56.1 parsecs away

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| This is a short summary of some of the terminology used in machine learning, with an emphasis on neural networks. I've put it together primarily to help my own understanding, phrasing it largely in non-mathematical terms. As such it may be of use to others who come from more of a programming than a mathematical background.