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How much of math and stat should we assume that our audience understands? E.g., should I assume they know correlation, variance/standard deviation, and hypothesis testing?
The text was updated successfully, but these errors were encountered:
I think the rule should be that any equation needs to be explained. Im
going through logistic regression and i think that showing the logit
function is valuable, but showing MLE in depth might be overboard other
than mentioning that its how the betas are updated and identified.
In kNNs, ill show an equation for how euclidean distance and how to
calculate a condition probability, then everything else is pseudocode
How much of math and stat should we assume that our audience understands? E.g., should I assume they know correlation, variance/standard deviation, and hypothesis testing?
The text was updated successfully, but these errors were encountered: