SUN'IY INTELLEKT ALGORITMLARINING RIVOJLANISH YO'NALISHLARI VA QO'LLANILISHI

https://doi.org/10.5281/zenodo.15600891

Authors

  • Saidqulova Ra’no Shodiyor qizi O‘zbekiston milliy universitetining Jizzax filiali Kompyuter ilmlari va dasturlash texnologiyalari yo‘nalishi talabasi Author

Keywords:

sun’iy intellekt, algoritm, mashinaviy o‘rganish, neyron tarmoqlar, tahliliy jadval, SWOT-tahlil

Abstract

Maqolada sun’iy intellekt algoritmlarining rivojlanish bosqichlari, ularning amaliyotdagi qo‘llanilish sohalari va kelajakdagi yo‘nalishlari keng yoritilgan. Tahliliy ma’lumotlar asosida algoritmlarning samaradorlik darajasi, ularni joriy etishdagi to‘siqlar va imkoniyatlar o‘rganilgan. Shuningdek, raqamli transformatsiya jarayonida sun’iy intellektning iqtisodiy, tibbiyot, ta’lim va sanoat sohalariga ta’siri tahlil qilinadi.

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References

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

Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.

Ng, A. (2022). Machine Learning Yearning. deeplearning.ai.

LeCun, Y., Bengio, Y., & Hinton, G. (2015). "Deep learning." Nature, 521(7553), 436–444.

Ўзбекистон Республикаси Президентининг “Raqamli O‘zbekiston – 2030” strategiyasi to‘g‘risidagi qarori, 2020.

O‘zbekiston Respublikasi Statistika agentligi ma’lumotlari, 2024.

World Economic Forum. (2024). Global AI Index.

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Published

2025-05-22

Issue

Vol. 1 No. 5 (2025): "Journal of International science networks"; "International scientific and practical conference": Vol. 1 No. 6 (2025)

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

Saidqulova , R. (2025). SUN’IY INTELLEKT ALGORITMLARINING RIVOJLANISH YO’NALISHLARI VA QO’LLANILISHI: https://doi.org/10.5281/zenodo.15600891. Journal of International Science Networks , 1(5), 383-385. https://bestjournalup.com/index.php/jisn/article/view/1805