Smoothing is a statistical technique used to reduce noise and variability in data to reveal underlying patterns or trends. It is commonly applied in various fields, such as signal processing, time series analysis, data visualization, and machine learning. The goal of smoothing is to make the important features of the dataset more apparent, allowing for clearer insights and analysis.
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