Abstract
We often have to resort to numerical optimization because the most parameter estimation problems in machine learning cannot be solved in closed form. In this project, we intend provide a differentiated approach to describe some, of the common optimization techniques used in machine learning, through the inclusion of fractional derivative, an important tool of fractional calculus, which ha…