CONTENTS
Orlova I.V., Orlova D.P. On the issue of interpreting linear regression coefficients. 5-13
Shchetinin E.Yu. Recognizing student activity in the classroom using deep learning methods. 14-24
Erokhin V.V., Bunina L.V. The influence of noisy data on solving classification problems using various machine learning methods. 25-35
Dobrina M.V. ARIMA model in machine learning: time series prediction. 36-47
Rodionov D.G., Konnikov E.A., Konnikova O.A., Smirnova I.A., Shanygin S.I. The impact of socio-economic factors on the penetration of internet marketing across countries. 48-61
Shcherbakov G.A. Economic barometers as the first experience of building mathematical models for analyzing and forecasting the dynamics of economic processes. 62-70
Arbatskaya D.E., Rodionov D.G., Ungvari Laszlo, Konnikov E.A. Comparative analysis of approaches to modeling changes in the financial markets of the technological sector of the econom. 71-82
Kolesov R.V., Yurchenko A.V., Zakharova S.A., Manaeva E.A., Kharinova A.A. About indicators of assessment of achievement by regions of national development goals of the Russian Federation. 83-88
Zvyagin L.S. The application of numerical and computational methods in mathematical and game-theoretic modeling. 89-101
Kvasha V.A., Voevodina E.I., Larionov V.D., Burtsev I.A., Churilov A.M. Features of the methodology and software tools for IT project management... 102-115
