Machine learning methods and models, predictive analytics and applications

Please use this identifier to cite or link to this item: http://repository.hneu.edu.ua/handle/123456789/25581

Title:	Machine learning methods and models, predictive analytics and applications
Authors:	Guryanova L. S. Yatsenko R. Dubrovina N. A. Babenko V. O.
Keywords:	predictive analytics machine learning methods Data Science applications for economics business healthcare
Issue Date:	2020
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.
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.
URI:	http://repository.hneu.edu.ua/handle/123456789/25581
Appears in Collections:	Статті (ЕКСА)

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