METHODS OF USING MACHINE LEARNING ALGORITHMS IN HUMAN RESOURCES MANAGEMENT PROBLEMS

The article discusses modern approaches and application of artificial intelligence algorithms, using the example of machine learning algorithms for forecasting and assessing the quality of human resource management in the context of the modern transition to a digital economy. In the formation and development of trends in the digital economy and the introduction of new solutions based on artificial intelligence algorithms for managing business processes in the human resource management system is becoming the most relevant for optimal human resource management. Machine learning algorithms, natural language processing (NLP) and big data analysis allow HR departments to make more informed and prompt decisions, improving the quality of human capital management. The current level of development of information and communication technologies and the use of various data management systems, the availability of the Internet make it possible to automate the collection, storage and processing of data. Based on the collected data, artificial intelligence models are built that help assess the performance of potential and current employees. The main areas of using machine learning algorithms for human resource management, as well as the possibilities of automating decision-making systems for individual personnel management are analyzed. In conclusion, it is stated that the integration of artificial intelligence into the field of human resource management represents an important step towards the formation of more efficient, transparent and flexible organizational processes.

management system, artificial intelligence, machine learning algorithms, hu- man resources, digital economy, software.

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2026-03-30