+**Data Scaling** is the process of transforming numerical data to a common range, preventing certain features from dominating [Machine Learning](/wiki/machine_learning) models due to their magnitude. This crucial preprocessing step ensures fair representation, aiding the convergence and performance of algorithms like [Gradient Descent](/wiki/gradient_descent).
+## See also
+- [Normalization](/wiki/normalization)
+- [Standardization](/wiki/standardization)
+- [Feature Engineering](/wiki/feature_engineering)
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