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Data augmentation
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<p>Data augmentation is a statistical technique which allows <a href="/facts/Maximum_likelihood_estimation/0Yq2dpQD">maximum likelihood estimation</a> from incomplete data. Data augmentation has important applications in <a href="/facts/Bayesian_inference/tEpK3zLx">Bayesian analysis</a>, and the technique is widely used in <a href="/facts/Machine_learning/e0w0XJTu">machine learning</a> to reduce <a href="/facts/Overfitting/5xnFLcMg">overfitting</a> when training machine learning models, achieved by training models on several slightly-modified copies of existing data. </p>