SUN’IY INTELLEKT VA WEB ILOVALAR: ZAMONAVIY YONDASHUVLAR VA KELAJAK ISTIQBOLLARI

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Issue: Vol. 3 No. 21 : Science and Innovation
Section: Articles
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Buxoro innovatsiyalar universiteti, magistr
info@in-academy.uz

Abstract:

Ushbu tezis zamonaviy web ilovalarida sun’iy intellekt texnologiyalarining qo’llanilishi, ular orqali erishilayotgan natijalar va kelajakdagi istiqbollarni o’rganishga qaratilgan. Web texnologiyalar va sun’iy intellekt integratsiyasi foydalanuvchi tajribasini yaxshilash, ma’lumotlarni qayta ishlash samaradorligini oshirish va biznes jarayonlarini avtomatlashtirish imkoniyatlarini taqdim etmoqda. Tezisda real vaqt rejimida ishlaydigan sun’iy intellektga asoslangan web ilovalarning asosiy komponentlari, arxitektura yechimlar va amaliy misollar ko’rib chiqiladi.

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How to Cite:

Jumayeva, U. . (2025). SUN’IY INTELLEKT VA WEB ILOVALAR: ZAMONAVIY YONDASHUVLAR VA KELAJAK ISTIQBOLLARI. Science and Innovation, 3(21), 103–106. Retrieved from https://in-academy.uz/index.php/si/article/view/54535

References:

Chollet, F. (2021). Deep Learning with Python. Manning Publications.

Géron, A. (2022). Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow. O’Reilly Media.

Howard, J., & Gugger, S. (2023). Deep Learning for Coders with fastsun’iy intellekt and PyTorch. O’Reilly Media.

Li, Y. (2024). "Integration of AI Technologies in Modern Web Applications", Journal of Web Engineering, 23(2), 145-163.

O’Reilly, T. (2023). "The Future of Web: AI-Powered Applications", Web Technology Review, 15(3), 78-92.

Smith, J. (2023). Building Intelligent Web Applications with TensorFlow.js. Packt Publishing.

Wang, L., & Zhang, H. (2024). "Edge AI for Web Applications: Challenges and Opportunities", IEEE Transactions on Neural Networks and Learning Systems, 35(2), 289-304.

Wu, Q. (2023). "Serverless Machine Learning: New Paradigm for Web Applications", International Journal of Cloud Computing, 12(3), 201-215.