Browsing by Author "Suleizhan T."

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    Development of a mathematical model of the system for collecting and analyzing data
    (Faculty of engineering and natural sciences, 2019) Suleizhan T.
    This thesis is aimed at developing practical skills of building mathematical svstems for data collection and analvsis. The peculiarity of the work is to learn to self-decision-making. to develop research skills. which is especially iniportant in a dynamic world. Data collection is carried out. in almost all areas of science and technology. Over the past few vears. data collection techniques have been applied to applications and new corporations have emerged to commercialize the technology. Many business and financial problems are successfully solved with the use of big data. Problems of management, classification. pattern recognition, forecasting, inherent in almost all application areas. such as medicine. military Affairs. aviation and space, construction, are increasingly solved with the use of this technology. In this regard. vou will see a fundamental understanding of the basic concepts and models of big data, as well as learn how to apply this knowledge - in practice.
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    MULTIVARIATE REGRESSION ANALYSIS AND MODELLING ON CARS DATASET
    (СДУ хабаршысы - 2019, 2019) Rayev Zh. ; Aipenova A. ; Suleizhan T. ; Zhumabek D. ; Duman A.
    Abstract. The results of the work are based on the construction of a mathematical model for determining unknown parameters using multivariate regression analysis. Structured data are given for the derivation and elimination of significant factors and coefficients. Also, machine learning simple regression models are used for modelling. The results have been evaluated and shown for comparative purposes.