Data Sampling › Sampling: From Populations to Observations
Michael BrenndoerferMay 16, 20251 min read
Machine Learning from ScratchAll chapters Part 1 of 9Statistics 101
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Sampling is the process of selecting a subset of observations from a larger population to make inferences about the whole. It forms the foundation of statistical inference, enabling you to draw meaningful conclusions from manageable amounts of data without requiring complete enumeration of entire populations.