Surrogate Modelling: Data-driven Models for Machine Learning and Optimization
This article introduces surrogate modelling, creating data-driven models for machine learning and optimization applications, and gives examples of their applications. Furthermore, it presents how to construct surrogate models, lists common surrogate modelling methods, introduces a Python library consisting of implementation of these methods. The outline of this article is: Why Do We Need Surrogate Models… Read More Surrogate Modelling: Data-driven Models for Machine Learning and Optimization
