MAShINALI OʻQITISh algoritmlarini real sohalarda QOʻLLASh va usullarini tahlil QILISh

Seitnazarov, K.K., Sultanbaeva, A.T., Jalgasbaeva, Sh.M.

Ilim ha’m ja’miyet · 2025-yil

Annotatsiya

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.

Maqola ma’lumotlari
MualliflarSeitnazarov, K.K., Sultanbaeva, A.T., Jalgasbaeva, Sh.M.
JurnalIlim ha’m ja’miyet
NashriyotНукус давлат педагогика институти
ISSN2010-720x, 2181-1555
Nashr sanasi2025-06-27
Son4-2
Betlar89-91
TilO‘zbek
Indeksga qo‘shilgan2026-08-26

Maqolaning asl sahifasi

Kalit so‘zlar

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

Iqtibos keltirish

APASeitnazarov, K.K., Sultanbaeva, A.T., & Jalgasbaeva, Sh.M. (2025). MAShINALI OʻQITISh ALGORITMLARINI REAL SOHALARDA QOʻLLASh VA USULLARINI TAHLIL QILISh. Ilim ha’m ja’miyet, (4-2), 89-91. https://journal.ndpi.uz/index/article/view/2025-4-2-040
GOST (OAK)Seitnazarov, K.K., Sultanbaeva, A.T., Jalgasbaeva, Sh.M. MAShINALI OʻQITISh ALGORITMLARINI REAL SOHALARDA QOʻLLASh VA USULLARINI TAHLIL QILISh // Ilim ha’m ja’miyet. – 2025. – № 4-2. – B. 89-91.
MLASeitnazarov, K.K., Sultanbaeva, A.T., and Jalgasbaeva, Sh.M. “MAShINALI OʻQITISh ALGORITMLARINI REAL SOHALARDA QOʻLLASh VA USULLARINI TAHLIL QILISh.” Ilim ha’m ja’miyet, (4-2), 89-91, 2025. https://journal.ndpi.uz/index/article/view/2025-4-2-040
ChicagoSeitnazarov, K.K., Sultanbaeva, A.T., and Jalgasbaeva, Sh.M. “MAShINALI OʻQITISh ALGORITMLARINI REAL SOHALARDA QOʻLLASh VA USULLARINI TAHLIL QILISh.” Ilim ha’m ja’miyet, (4-2), 89-91 (2025). https://journal.ndpi.uz/index/article/view/2025-4-2-040
HarvardSeitnazarov, K.K., Sultanbaeva, A.T., and Jalgasbaeva, Sh.M (2025) ‘MAShINALI OʻQITISh ALGORITMLARINI REAL SOHALARDA QOʻLLASh VA USULLARINI TAHLIL QILISh’, Ilim ha’m ja’miyet, (4-2), 89-91. https://journal.ndpi.uz/index/article/view/2025-4-2-040
BibTeX
@article{seitnazarovkk2025,
  title = {MAShINALI OʻQITISh ALGORITMLARINI REAL SOHALARDA QOʻLLASh VA USULLARINI TAHLIL QILISh},
  author = {Seitnazarov, K.K. and Sultanbaeva, A.T. and Jalgasbaeva, Sh.M.},
  journal = {Ilim ha’m ja’miyet},
  year = {2025},
  number = {4-2},
  pages = {89-91},
  url = {https://journal.ndpi.uz/index/article/view/2025-4-2-040}
}

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