Data Science, Machine Learning, Data Analytics, Knowledgebase Analytics, Regularization.
Ridge Formula L(β) is the loss function. yi​ is the actual value of the target variable. xiT​ is the transpose of the feature vector. β is the vector of model parameters or coefficients. λ is the regularization parameter, controlling the amount of shrinkage. The first term is the usual least