What is the role of normalization in high-dimensional ML?

Updated May 15, 2026

Short answer

It ensures uniform feature contribution.

Deep explanation

Without normalization, features with larger scales dominate learning and distance metrics.

Real-world example

Combining sensor data from different units.

Common mistakes

  • Skipping preprocessing step.

Follow-up questions

  • Standardization vs normalization?
  • Is normalization always needed?

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