+**Regularization** is a vital technique in [Machine Learning](/wiki/machine_learning) designed to prevent [Overfitting](/wiki/overfitting). It adds a penalty to a model's complexity, encouraging simpler solutions that generalize better to new, unseen data.
+## See also
+- [Loss Function](/wiki/loss_function)
+- [Bias Variance](/wiki/bias_variance)
+- [Deep Learning](/wiki/deep_learning)
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