# Usefulness of Z-normalization in Machine Learning [duplicate]

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?