Machine Learning, Linear Regression, Ridge Regression, Lasso Regression, Genomics.
solution to overfitting? Regularization. Let’s discuss it! Conceptually regularization is constraining a set of parameters in order to discourage the model to be complex. Generally, this is translated to reduce the coefficients. Intuitively if there is some noise, these data points will be farther