Machine learning methods in human resource management
- Authors: Krichevskiy M.L.1, Dmitrieva S.V.1, Martynova Y.A.1
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Affiliations:
- Saint-Petersburg State University of Aerospace Instrumentation (SUAI)
- Issue: Vol 13, No 1 (2023)
- Pages: 405-420
- Section: Articles
- URL: https://journals.eco-vector.com/2222-0372/article/view/608102
- DOI: https://doi.org/10.18334/vinec.13.1.117467
- ID: 608102
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Abstract
The application of machine learning methods in human resource management is considered. The main tasks of personnel management, which can be solved by the methods of artificial intelligence and machine learning, are highlighted. The analysis of various platforms of artificial intelligence in the procedures for working with personnel was carried out. A brief description of machine learning methods, primarily related to the category of supervised ones, which are able to find solutions to selected problems in the specified area, is given. Practical examples of the implementation of a number of such tasks that are performed in the MatLab software product with obtaining specific results in recruiting, staff selection and training are given. The ways of further research on the involvement of artificial intelligence methods in the personnel management tasks are indicated.
About the authors
Mikhail Leyzerovich Krichevskiy
Saint-Petersburg State University of Aerospace Instrumentation (SUAI)
Email: mkrichevsky@mail.ru
Svetlana Vladimirovna Dmitrieva
Saint-Petersburg State University of Aerospace Instrumentation (SUAI)
Email: dsv949@yandex.ru
Yuliya Anatolevna Martynova
Saint-Petersburg State University of Aerospace Instrumentation (SUAI)
Email: juli_ko@list.ru
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