ML galvanize probability, statistics and learning algorithms. Regression analysis and machine learning have some distinct differences in their goals, assumptions, and methods. Regression analysis ...
This chapter introduces different alternatives for performing regression considering their variations such as linear, logistic, and non‐linear cases. Those approaches present competitive results but ...
Abstract: Least square support vector regression (LSSVR) is a method for function approximation, whose solutions are typically non-sparse, which limits its application especially in some occasions of ...
We nowcast world trade using machine learning, distinguishing between tree-based methods (random forest, gradient boosting) and their regression-based counterparts (macroeconomic random forest, ...