MASHINA O‘RGANISHNING NAZARIY ASOSLARI

Authors

  • Abdukadirov Baxtiyor Abduvaxitovich Farg'ona davlat universiteti Axborot texnologiyalari kafedrasi dotsenti PhD Author
  • Mo‘ydinova Shohsanam Yahyojonqizi FarDu Axborot tizimlari va texnologiyalari yo‘nalishi 2-bosqich talabasi Author

Keywords:

Mashina o‘rganish, Sun’iy intellekt, Algoritm, Model, Klassifikatsiya, Regressiya, Neyron tarmoqlar.

Abstract

Ushbu maqolada mashina o‘rganishning nazariy asoslari, uning ishlash prinsiplari va asosiy matematik tushunchalari tahlil qilinadi. Mashina o‘rganish sun’iy intellektning muhim yo‘nalishlaridan biri bo‘lib, katta hajmdagi ma’lumotlar asosida avtomatik ravishda bilim hosil qilish va qaror qabul qilish imkonini beradi. Maqolada mashina o‘rganish turlari, algoritmlarining ishlash mexanizmlari hamda ularning amaliy qo‘llanilish sohalari yoritilgan. Shuningdek, model yaratish jarayonida yuzaga keladigan muammolar va ularni bartaraf etish usullari ham ko‘rib chiqilgan.

References

Mitchell, T. (1997). Machine Learning.

Bishop, C. (2006). Pattern Recognition and Machine Learning.

Goodfellow, I. (2016). Deep Learning.

Russell, S., Norvig, P. (2021). Artificial Intelligence: A Modern Approach.

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Published

2026-04-28

Issue

Vol. 4 No. 30 (2026): Science and Innovation

Section

Articles

How to Cite

MASHINA O‘RGANISHNING NAZARIY ASOSLARI. (2026). Science and Innovation, 4(30), 46-47. https://www.in-academy.uz/index.php/SI/article/view/38698
Innovative Academy RSC
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