Intro to Scientific Computing
Resampling is a statistical technique used to create multiple samples from a dataset, allowing for the estimation of the variability of a statistic or model. This method is essential in big data processing, as it enables researchers to assess the robustness and accuracy of their findings by testing them against different subsets of data. By utilizing resampling methods, such as bootstrapping and cross-validation, one can gain deeper insights into the underlying patterns and trends present in large datasets.
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