Web: https://dev.to/rlrocha/prevent-the-overfitting-through-regularization-an-example-by-ridge-regression-45hd

May 7, 2022, 1:32 p.m. | Rafael Rocha

DEV Community dev.to


In my post on Polynomial Curve Fitting was discussed that adding more examples is one of the possible ways to prevent overfitting, the phenomenon that occurs in the figure above, where is a gap between the training (lower) and validation (higher) errors.

Another approach used to control the overfitting is Regularization, which involves adding a penalty term to the error function to discourage the coefficients from reaching large values, how to introduce Bishop in the Pattern Recognition and Machine …

datascience machinelearning python

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