| DC Field | Value | Language |
|---|
| dc.contributor.author | Krauchynskaya, D. N. | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2026-08-13T12:45:14Z | - |
| dc.date.available | 2026-08-13T12:45:14Z | - |
| dc.date.issued | 2026 | - |
| dc.identifier.citation | Krauchynskaya, D. N. Artificial intelligence and machine learning in economics / D. N. Krauchynskaya // Актуальные вопросы экономики и информационных технологий : сборник материалов докладов 62-й научной конференции аспирантов, магистрантов и студентов БГУИР, Минск, 13–17 апреля 2026 г. / Белорусский государственный университет информатики и радиоэлектроники. – Минск, 2026. – С. 752. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/65434 | - |
| dc.description.abstract | The paper examines the role of Artificial intelligence I and machine learning in economic research in the context of data growth. The differences between machine learning and econometrics are analyzed. The application in forecasting, text analysis, and policy assessment is highlighted. The problems of data quality and interpretability of models are discussed. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | БГУИР | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | artificial intelligence | en_US |
| dc.subject | machine learning | en_US |
| dc.subject | economics | en_US |
| dc.subject | data analytics | en_US |
| dc.subject | automation | en_US |
| dc.subject | forecasting | en_US |
| dc.subject | economic models | en_US |
| dc.title | Artificial intelligence and machine learning in economics | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Актуальные вопросы экономики и информационных технологий : материалы 62-й научной конференции аспирантов, магистрантов и студентов (2026)
|
