This study analyzes modern intelligent systems that use machine learning models to determine an individual’s solvency and increase accuracy. The study highlights the principles of operation of traditional credit rating systems, platforms created based on artificial intelligence technologies, and internal assessment models used in banks, as well as the advantages and limitations of machine learning algorithms. According to the research results, the integrated application of artificial intelligence, machine learning, and blockchain technologies will allow for a more stable, secure, and efficient financial sector.
| Mualliflar | Do'sanov, Raxim |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2025-12-20 |
| Son | 4 |
| Betlar | 157-163 |
| Til | Rus |
To‘lov tizimlari,kredit reyting, mashinaviy o‘qitish, sun’iy intellekt, raqamli iqtisodiyot, Платежные системы, кредитный рейтинг, машинное обучение, искусственный интеллект, цифровая экономика, Payment systems, credit scoring, machine learning, artificial intelligence, digital economy
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