Analysis of the experience of applying machine learning methods in the russian construction industry

Abstract

The purpose of this article is to analyze the theory and practice of applying machine learning methods in the construction industry. The research base was the national bibliographic database of scientific citation - RSCI. As a result of the analysis, it was revealed that the most common use of machine learning methods is in the oil and gas industry, and research in the construction industry is more of an overview.