Protected: Newtonian and Modified Newtonian Methods as Sequential Optimization in Machine Learning
Newton and modified Newton methods (Cholesky decomposition, positive definite matrix, Hesse matrix, Newtonian direction, search direction, Taylor expansion) as continuous machine learning optimization for digital transformation, artificial intelligence and machine learning tasks