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Machine learning toidentify key successindicators : доклад,тезисы доклада Nelyub V.Glinscaya A.Kukartsev V.2023 год

Machine learning to identify key success indicators : доклад, тезисы доклада
доклад, тезисы доклада, статья из сборника материалов конференций

Дополнительные ссылки: eLibrary · Источник статьи
База данных: Каталог библиотеки СФУ
Библиографическое описание: Machine learning to identify key success indicators : доклад, тезисы доклада / V. Nelyub [et al.]. - [S. l. : s. n.], 2023. - Текст : непосредственный // E3S Web of Conferences : XI International Scientific and Practical Conference Innovative Technologies in Environmental Science and Education (ITSE-2023) / XI International Scientific and Practical Conference Innovative Technologies in Environmental Science and Education (ITSE-2023) (2023 ; 04.09 - 10.09 ; Divnomorskoe village, Russia). - Divnomorskoe village, Russia, 2023. - 431. - P. 05014-05014. - DOI 10.1051/e3sconf/202343105014.
Аннотация: This article explores the application of machine learning techniques in the context of identifying and analyzing key indicators of learner success. In particular, the paper focuses on the application of machine learning techniques such as decision trees, Kohonen maps and neural networks. Decision trees are a graphical model that helps to analyze and make decisions based on hierarchical data structure. They allow classification and regression analysis, which helps in highlighting optimal strategies and recommendations to improve learner success. Kohonen map are used to highlight key success indicators, find hidden patterns and group data. Neural networks are able to analyze complex relationships and predict outcomes based on input data. The selected machine learning methods allow to optimize the learning process, adapt teaching methods to individual needs and increase the effectiveness of education in general.
Год издания: 2023
Авторы: Nelyub V., Glinscaya A., Kukartsev V., Borodulin A., Evsyukov D.
Издательство: Divnomorskoe village, Russia
Источник: E3S Web of Conferences
Выпуск: 431
Мероприятие: XI International Scientific and Practical Conference Innovative Technologies in Environmental Science and Education (ITSE-2023) (Divnomorskoe village, Russia, 2023 ; 04.09 - 10.09)
Номера страниц: 05014-05014
Количество экземпляров:
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