Machine Learning & Training

What Is Normalization?

Normalization is a data preprocessing technique that rescales feature values to a fixed range, often between 0 and 1. This ensures that features with large ranges do not dominate those with smaller ranges during training. It is especially useful for algorithms sensitive to input scale.