Application of intellectual data analysis methods for digital educational platform

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This article describes the possibility of using data mining techniques. In order to join new carpet participants, it is necessary to understand that the system of interaction with them is public educational services. To implement digital educational platforms, it is proposed to create an agent that collects information about sites, and also selects and tests the architecture of the neural network to build an individual trajectory that is trained using the competency-based model.

Agent, neural network, digital educational platform

Короткий адрес: https://sciup.org/14122709

IDR: 14122709

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