Machine learning methods and models, predictive analytics and applications

dc.contributor.author	Guryanova L. S.
dc.contributor.author	Yatsenko R.
dc.contributor.author	Dubrovina N. A.
dc.contributor.author	Babenko V. O.
dc.description.abstract	This is an introductory text to a collection of articles selected from the MPSESM-XII conference: Modern Problems of Modelling Socio-Economic Systems, which took place in Kharkiv, Ukraine, on April 9-10th, 2020. Due to quarantine measures in connection with COVID-19, several sections were working on June 25th, 2020 on the basis of S. Kuznets Kharkiv National University of Economics https://ek.hneu.edu.ua/. The following is a brief overview of the main scientific schools on modelling systems, of the results of their work.
dc.identifier.citation	Guryanova L. Machine learning methods and models, predictive analytics and applications / L. Guryanova , R. Yatsenko, N. Dubrovina at el // CEUR Workshop Proceedings, 2020. ‒ С. 1–5.
dc.identifier.uri	http://repository.hneu.edu.ua/handle/123456789/25581
dc.language.iso	en
dc.subject	predictive analytics
dc.subject	machine learning methods
dc.subject	Data Science applications for economics
dc.subject	business
dc.subject	healthcare
dc.title	Machine learning methods and models, predictive analytics and applications
dc.type	Article

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