Machine Learning, Linear Regression, Ridge Regression, Lasso Regression, Genomics.
penalizing the coefficients that have large values, reducing the model complexity. In other words, we are changing the loss function to include an additional cost for large coefficients. Another problem that regularization solve is that if your coefficients are too large, the model is more