1
$\begingroup$

Z-normalization means rescaling the feature $X$ by subtracting the average $\mu$ and dividing by its standard deviation $\sigma$, i.e., $(X-\mu)/\sigma$.

What is the usefulness of normalizing data for machine learning?

$\endgroup$

marked as duplicate by Sycorax, Tim, gung, Nick Cox, Andy W Jan 7 '16 at 15:55

This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.