Sampling with replacement: Revision history

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18 March 2023

  • curprev 21:5621:56, 18 March 2023‎ Walle talk contribs‎ 3,775 bytes +3,775‎ Created page with "{{see also|Machine learning terms}} ==Sampling with Replacement in Machine Learning== In machine learning, sampling with replacement refers to a statistical technique used for selecting samples from a given dataset or population during the process of model training or evaluation. This method allows for a sample to be selected multiple times, as each time it is drawn, it is returned to the pool of possible samples. In this article, we will discuss the implications of samp..."
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