Machine Learning, Linear Regression, Ridge Regression, Lasso Regression, Genomics.
(called also L1 penalization) adds a penalty term that is equivalent to the absolute magnitude of the coefficients. λ is the penalty term, is a constant that decides how much is the reduction of the weight. The input dataset has a dimension of m, so the penalty is applied to all the weights. The