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?


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

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