Regularization: Revision history

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31 May 2024

  • curprev 20:2120:21, 31 May 2024‎ Ai talk contribs‎ 7,409 bytes +7,409‎ Created page with "== Introduction == Regularization is a crucial concept in machine learning and statistics, designed to prevent overfitting by adding additional information or constraints to a model. This technique is essential for improving the generalization of models, ensuring they perform well on unseen data. Regularization methods are diverse and can be applied in various ways, depending on the specific requirements of the model and the nature of the data. == Types of Regularizati..."
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