The green and blue functions both incur zero loss on the given data points. A learned model can be induced to prefer the green function, which may generalize better to more points drawn from the underlying unknown distribution, by adjusting , the weight of the regularization term. In mathematics, statistics, finance,[1] computer science, particularly in machine learning and inverse problems, regul
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