Machine Learning in Physics and Engineering

Abstract

Machine Learning is already being frequently used in computer vision, recommendation systems, medical diagnosis, or financial forecasting. Recently, physics and engineering have also taken advantage of machine learning by tuning these methods for their purpose. This chapter starts with a general review and then describes combined models and surrogate models. The idea is to show how machine learning can be used in physics and engineering without diving into technical details.