This article explores the relationship between machine learning and statistical estimation theory, highlighting the ways in which these two fields inform and enhance each other. It also discusses the potential for applying statistical estimation techniques to solve real-world problems using machine learning. The article calls for submissions that delve into this intersection and offers a platform for publishing relevant research.
