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Author: Anefiyayev N. × Subject: №1 ×

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    DESIGNING A RECOMMENDATION SYSTEM FOR SPECIALIZED COURSES FOR THE UNIVERSITY
    (СДУ хабаршысы - 2021, 2021) Anefiyayev N. ; Anefiyayeva D. ; Talasbek A.
    Abstract. Each university has compulsory subjects and there are subjects that the student must choose for themselves. This choice affects the further path of the student because he chooses not only the subject that he will study but also what he will work within the near future. I know from myself how difficult it is to choose a subject yourself. The recommendation engine is one of the most popular artificial intelligence applications, attracting many researchers from all over the world. From the moment we switched to the Internet, the recommendation system has become widely used in our daily life, even when we do not notice it. Many machine learning techniques can be used to implement a recommendation system, but in this work, we consider the KNN method for classification.
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    ItemOpen Access
    PREDICTION OF THE BUSINESS ORIENTATION BASED ON ANALYSIS OF USER DESIRES
    (СДУ хабаршысы - 2023, 2023) Anefiyayev N.; Anefiyayeva D.
    Abstract. Business is a well-established system aimed at making money and an activity that not everyone can succeed in. Business should work like clockwork that always works well with the most important - data. Only on the basis of data analysis can we make informed and rational decisions about where the business should develop, its methods became common in business when technologies for collecting and processing data developed. One of the main decisions that can be taken on the basis of data processing is to predict in which area it is better to develop a business. This paper aims to build a correct understanding of what customers are interested in based on feedback from customers. Improved machine learning solves this problem and algorithms like decision trees, neural networks, and regression are used to analyze issues and choose the best option - a foundation for the future strategy of the company.