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Usually "normalization" means re-expressing univariate data to make values lie within a specified range.

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How does Feature Scaling help Gradient Descent? [duplicate]

I am following deep learning.ai's videos on Coursera. I have a couple of questions about feature scaling using the formula: $$ (x - \mu)/ \sigma $$ Edit: There are similar questions which deal with …
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