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Answers for “为什么在机器学习中需要数据归一化?”

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To standardize a dataset using the Z-score formula, first compute the mean (μ\mu) and standard deviation (σ\sigma) of the dataset. Then, for each original data value XX, apply the formula X′=X−μσX' = \frac{X - \mu}{\sigma} to convert it into a standardized score.

Conditions: Requires knowing the mean and standard deviation of the dataset