"Conventional" statistics uses distributions and parameters like mean and variance.
"Nonparametric" statistics relies on being "distribution free" or using unspecified distribution parameters.
"Support Vector Machines" are a form of nonparametric statistics useful in machine learning. It is a "discriminative" classifier.
"Nonparametric" statistics relies on being "distribution free" or using unspecified distribution parameters.
"Support Vector Machines" are a form of nonparametric statistics useful in machine learning. It is a "discriminative" classifier.
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