By this time, humanity has achieved and continues to achieve great scientific and practical achievements. One of them is artificial intelligence (AI), which is widely used in many areas of human activity. Currently, SI is rapidly developing in many areas, and the higher education system is no exception. This article is devoted to the analysis of the factors affecting the prediction of the student's academic activity and the methods used in practice to control it and further increase the student's potential.
| Mualliflar | Маматов, Н.С., Иброхимов, С.Р., Самиджонов, А.Н. |
|---|---|
| Jurnal | Темир йўл транспорти: долзарб масалалар ва инновациялар |
| Nashr sanasi | 2024-08-09 |
| Son | 1 |
| Betlar | 143-148 |
| Til | Ingliz |
Искусственный интеллект, дерево решений, нейронная сеть, байесовский метод, k- ближайшие соседи, машина опорных векторов.Искусственный интеллект, дерево решений, нейронная сеть, байесовский метод, k- ближайшие соседи, машина опорных векторов., Artificial intelligence, decision tree, neural network, Bayesian method, k-nearest neighbors, support vector machine.
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Темир йўл транспорти: долзарб масалалар ва инновациялар — barcha maqolalar