RESEARCH ON THE RELEVANCE OF THE USE OF MACHINE LEARNING METHODS IN THE DIGITAL ECONOMY

Abstract

The paper investigates the main ways of studying the digital economy using machine learning methods and assesses the degree of their application in different sectors of the economy. Different points of view on the definition of the concepts of "digital economy" and "machine learning" are considered. The level of development and relevance of artificial intelligence and machine learning, as well as their multi-purpose use in various spheres of society are noted. The types of tasks, for the solution of which by means of machine learning methods the maximum efficiency and productivity are provided. The advantages and disadvantages of using machine learning methods are highlighted and disclosed in more detail. Based on the conducted collection and analysis of reporting data provided by the Federal State Statistics Service "Rosstat", the analysis, synthesis and correlation of indicators used to describe the position of machine learning methods in the digital economy are carried out. The most demanded areas of the digital economy from the point of view of applying machine learning algorithms were identified, each sector of which was hierarchically classified depending on the relevance of applying machine learning methods in it.  The ways of categorizing machine learning methods into groups are described. The results of the study allow us to draw conclusions about the position of machine learning methods in the modern digital economy, the importance of their application and the need to train specialists in this field.

Keywords: data analysis, artificial intelligence, machine learning, methods of machine learning, digital economics

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About the Authors

Yegor S. Paramonov – Student, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia. E-mail: iamnotraitor@mail.ru

Konstantin A. Ivantsov – Student, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia. E-mail: konstantin.ivanyov@mail.ru

Vadim A. Mironchuk – Cand. Sci. (Economics), Docent; Associate Professor, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia. E-mail: mailto:mironchuk.v@edu.kubsau. SPIN РИНЦ 8042-8904. ORCID 0000-0001-9160-4704. Scopus Author ID 57221048524

For citation: Paramonov Y.S., Ivantsov K.A., Mironchuk V.A. Research on the Relevance of the Use of Machine Learning Methods in the Digital Economy // Beneficium. 2024. Vol. 1(50). Pp. 22-30. (In Russ.). DOI: 10.34680/BENEFICIUM.2024.1(50).22-30