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Answers for “为什么在机器学习中需要对数据进行归一化或缩放?”

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In machine learning, different features may have entirely different magnitudes. Without processing, features with larger magnitudes may dominate the model training process.

Conditions: Suitable for datasets where features differ greatly in units or magnitude