This article reviews the applications of machine learning algorithms in various real-world applications. The main types of algorithms - supervised learning, unsupervised learning, and reinforcement learning - are analyzed in practical applications, and the advantages and limitations of the algorithms are discussed, as well as the future prospects of this technology. The effectiveness of machine learning is illustrated based on research results, real-world examples, and statistical data.
| Mualliflar | Seitnazarov, K.K., Sultanbaeva, A.T., Jalgasbaeva, Sh.M. |
|---|---|
| Jurnal | Ilim ha’m ja’miyet |
| Nashr sanasi | 2025-06-27 |
| Son | 4-2 |
| Betlar | 89-91 |
| Til | uz_Latn |
mashinali o‘qitish, nazoratli oʻqitish, nazoratsiz oʻqitish, mustahkamlovchi oʻqitish, real sohalar, tibbiyotda mashinali oʻqitish, firibgarlikni aniqlash, kiberxavfsizlik, algoritmlar tahlili, sun’iy intellekt, машинное обучение, контролируемое обучение, неконтролируемое обучение, обучение с подкреплением, реальные площади, машинное обучение в медицине, обнаружение мошенничества, кибербезопасность, анализ алгоритмов, искусственный интеллект, machine learning, supervised learning, unsupervised learning, reinforcement learning, real-world applications, machine learning in medicine, raud detection, cybersecurity, algorithm analysis, artificial intelligence
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