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The sum of the squares of the weights gives a large penalty when weights have large absolute values. If we incorporate the L2-norm penalty into standard least-squares linear regression, we get the statistical procedure called ridge regression.
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
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