Regularization: Revision history

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18 March 2023

  • curprev 13:2713:27, 18 March 2023‎ Walle talk contribs‎ 3,000 bytes +3,000‎ Created page with "{{see also|Machine learning terms}} ==Regularization in Machine Learning== Regularization is a technique used in machine learning to prevent overfitting, which occurs when a model learns to perform well on the training data but does not generalize well to unseen data. Regularization works by adding a penalty term to the objective function, which encourages the model to select simpler solutions that are more likely to generalize to new data. There are several types of reg..."
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