This article discusses the classification algorithms for the problem of personality identification by voice using machine learning methods. We used the MFCC algorithm in the speech preprocessing process. To solve the problem, a comparative analysis of five classification algorithms was carried out. In the first experiment, the support vector method was determined-0.90 and multilayer perceptron-0.83, that showed the best results. In the second experiment, a multilayer perceptron with an accuracy of 0.93 was proposed using the Robust scaler method for personal identification. Therefore, to solve this problem, it is possible to use a multi-layer perceptron, taking into account the specifics of the speech signal.

The study aims to analyze the innovation potential of enterprises, explain the use of the binary regression methodology, and explore different indicators of the enterprises in the regions of Kazakhstan for building an effective management strategy. Methodological substantiation is based on the complex survey data analysis, provided by the World Bank Enterprises Survey (WBES) for Kazakhstan. WBES database has covered a sociological survey of enterprises, which was conducted using a random survey and representativeness among 1,296 enterprises, mainly in the production sector. Besides, the data were collected among companies regarding their experience in environmental perception (including innovation activity), in which they worked. The results have demonstrated that the age of the company, exporter status, type, sector, or activity – all these have a positive influence on the company’s tendency to innovations. However, as part of the study, it has found out that competitors in the marketplace and regions of activity of enterprises predominantly negatively affect the prospects of introducing innovation. It was also in evidence that the same factors (foreign ownership, advanced training, type, size, and sector of an enterprise) are essential determinants of product, technology, R&D, ICT, and innovation. Obtained results can be used by enterprises for building an effective management strategy of own business innovative development, as well as by local authorities to upgrade the competitive performance. AcknowledgmentsThis study has been funded by the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan (Grant “Priorities and mechanisms of inclusive regional development of Kazakhstan in the context of overcoming the economic recession” No. AP09259004).

Б а с р е д а к т о р ы х. ғ. д., проф., ҚР ҰҒА академигі М. Ж. Жұрынов Р е д а к ц и я а л қ а с ы: Абиев Р.Ш. проф. (Ресей) Абишев М.Е. проф., корр.-мүшесі (Қазақстан) Аврамов К.В. проф. (Украина) Аппель Юрген проф. (Германия) Баймуқанов Д.А. проф., корр.-мүшесі (Қазақстан) Байтулин И.О. проф., академик (Қазақстан) Банас Иозеф проф. (Польша) Берсимбаев Р.И. проф., академик (Қазақстан) Велесько С. проф. (Германия) Велихов Е.П. проф., РҒА академигі (Ресей) Гашимзаде Ф. проф., академик (Əзірбайжан) Гончарук В.В. проф., академик (Украина) Давлетов А.Е. проф., корр.-мүшесі (Қазақстан) Джрбашян Р.Т. проф., академик (Армения) Қалимолдаев М.Н. проф., академик (Қазақстан), бас ред. орынбасары Лаверов Н.П. проф., академик РАН (Россия) Лупашку Ф. проф., корр.-мүшесі (Молдова) Мохд Хасан Селамат проф. (Малайзия) Мырхалықов Ж.У. проф., академик (Қазақстан) Новак Изабелла проф. (Польша) Огарь Н.П. проф., корр.-мүшесі (Қазақстан) Полещук О.Х. проф. (Ресей) Поняев А.И. проф. (Ресей) Сагиян А.С. проф., академик (Армения) Сатубалдин С.С. проф., академик (Қазақстан) Таткеева Г.Г. проф., корр.-мүшесі (Қазақстан) Умбетаев И. проф., академик (Қазақстан) Хрипунов Г.С. проф. (Украина) Юлдашбаев Ю.А. проф., РҒА корр-мүшесі (Ресей) Якубова М.М. проф., академик (Тəжікстан) «Қазақстан Республикасы Ұлттық ғылым академиясының Хабаршысы».

The purpose of the study is a theoretical and practical justification for building a mechanism for financing health facilities based on publicprivate partnerships from a pension fund in regions with environmental problems. The theoretical background is built on works of local and foreign authors on state and non-state pension provisions issues, pension funds' assets management. This study provides an analysis of the health status of the population of the Kyzylorda region; it analyzes also the worldwide and Kazakhstan practice of investing pension funds and implementing projects. There has been legislative and methodological framework for financing health projects based on public-private partnerships in Kazakhstan. The scientific methods considered in this study made it possible to develop a mechanism for financial support for the modernization of a healthcare facility using the budget of pension funds. The authors point out possible risks in the implementation of projects in the field of healthcare and make recommendations on the construction a mechanism for financing healthcare facilities in the regions of Kazakhstan with environmental problems. In addition, they underline the key insights of the analysis, which are requisites for identifying the profitability of project for business and social effects for the public. Factors influencing efficacy, effect and implementation risks identified.

The most important element of economic security in modern conditions is financial safety. In modern conditions the impact of geofinances, the world's financial systems on the individual state moves to a qualitatively new level. According to the dominant position occupied by a financial component in today's economy, the authors can characterize the last one as an economy controlled by the basis of their financial way, through financial mechanisms, using financial leverage, financial incentives and fiscal purposes. In this article, financial security is considered by the example of developing countries - members of the Shanghai Cooperation Organization in Kazakhstan, Russia and China.