Additive Smoothing
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Additive Smoothing

Additive smoothing: Additive smoothing is a technique used in data science to smooth out noisy datasets. It is a form of noise reduction, and it works by adding a small amount of noise to the dataset in order to obscure the original noise. This makes it easier to identify the underlying trends in the data.