employee from 01.01.2025 until now
Rossiyskiy gosudarstvennyy universitet im. A.N. Kosygina (Tehnologii. Dizayn. Iskusstvo) (ASOIiU, prepodavatel')
employee from 01.01.2022 to 01.01.2025
Moscow, Russian Federation
employee from 01.01.2005 until now
Moskva, Russian Federation
employee from 01.01.1998 until now
Pavlovskiy Posad, Moscow, Russian Federation
VAK Russia 5.2.5
UDC 330.46
UDC 004.89
CSCSTI 06.52
Russian Classification of Professions by Education 38.00.00
Russian Classification of Professions by Education 38.06.01
Russian Library and Bibliographic Classification 65
Russian Library and Bibliographic Classification 6501
Russian Library and Bibliographic Classification 6505
Russian Trade and Bibliographic Classification 7
Russian Trade and Bibliographic Classification 772
Russian Trade and Bibliographic Classification 773
BISAC BUS049000 Operations Research
The article is devoted to the study of machine learning (MO) methods and their application in economics. Various approaches such as classification, regression, clustering, and text analysis are considered, which are used to solve key tasks, including forecasting macroeconomic indicators, managing risks, and improving the efficiency of business processes. A comparison is made between traditional econometric analysis and new methods based on artificial intelligence. The focus is on empirical analysis conducted on the open data of the World Bank, as well as on practical examples of successful implementation of projects using MO. The advantages and limitations of machine learning are discussed separately, as well as important ethical issues related to possible biased results of algorithms. The results obtained are of interest to researchers and practitioners seeking to improve the quality of forecasting and decision-making in a rapidly growing data environment. The general purpose of the article is to demonstrate the current state and prospects of using MO in the economy.
machine learning, econometrics, GDP forecasting, market segmentation, financial modeling, economic policy, clustering, regression, text data processing, risk management
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