Machine Learning, Linear Regression, Ridge Regression, Lasso Regression, Genomics.
from the others and you need to increase your weights, leading to overfitting. Overfitting is a risk when you have too many features (and when you have many features you do not know which to drop. To drop the wrong features will affect the algorithm performance). In concrete, regularization is