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regularization-to-avoid-overfitting

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Regularization is a crucial technique in machine learning that helps to prevent overfitting. Overfitting occurs when a model becomes too complex and learns the training data so well that it fails to generalize to new, unseen data.

  • Updated Sep 8, 2024
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