KO‘P OMILLI STATISTIK MODELLAR YORDAMIDA O‘ZBEKISTON TASHQI SAVDO KO‘RSATKICHLARINI TAHLIL QILISH
Abstract
Ushbu tadqiqotda Sun’iy intellekt texnologiyalaridan foydalanish orqali tashqi savdo jarayonlarini chuqurroq o‘rganish, resurslardan samarali foydalanish va savdo siyosatini takomillashtirish bo‘yicha nazariy va amaliy tavsiyalar ishlab chiqishga qaratilgan. Mazkur tadqiqot O‘zbekiston tashqi savdo ko‘rsatkichlarini sun’iy intellektning nazoratsiz o‘rganish yondashuvlari asosida tahlil etish, ularning determinantlarini aniqlash hamda ilmiy asoslangan iqtisodiy siyosat tavsiyalarini ishlab chiqish uchun muhim metodologik asos yaratadi.
References
Du-Harpur, X., Watt, F., Luscombe, N., & Lynch, M. (2020). What is AI? Applications of artificial intelligence to dermatology. British Journal of Dermatology, 183(3), 423–430.
Firt, E. (2023). Artificial understanding: A step toward robust AI. AI & Society, 39(4), 1653–1665.
Gewers, F. L., Ferreira, G. R., Arruda, H. F. D., Silva, F. N., Comin, C. H., Amancio, D. R., & Costa, L. D. F. (2021). Principal component analysis: A natural approach to data exploration. ACM Computing Surveys (CSUR), 54(4), 1–34.
Jakubik, A., Rotunno, L., & Saini, A. (2025, June 26). Foresee the unseen: Evaluating the impact of artificial intelligence on international trade. International Monetary Fund; University of Illinois Chicago.
Jolliffe, I. T. (2002). Principal component analysis for special types of data (pp. 338–372). Springer.
Korir, E. K. (2024). Comparative clustering and visualization of socioeconomic and health indicators: A case of Kenya. Socio-Economic Planning Sciences, 95, 101961.
Ozturk, O. (2024). The impact of AI on international trade: Opportunities and challenges. Economies, 12(11), 298. https://doi.org/10.3390/economies12110298
Salem, N., & Hussein, S. (2019). Data dimensional reduction and principal components analysis. Procedia Computer Science, 163, 292–299.
Wei, P. (n.d.). A study of principal component analysis on classifiers using histogram of gradients features [Final report]. Carnegie Mellon University. Retrieved from http://www.contrib.andrew.cmu.edu/~pwei/papers/FinalReport.pdf
World Trade Organization (WTO). (2024). World trade report 2024. Geneva: WTO Publications.
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Ushbu litsenziyaga muvofiq, siz:
Ulashish — materialni istalgan vosita yoki formatda nusxalash va qayta tarqatish
Moslashtiring - remiks qiling, o'zgartiring va materialga asoslang
Litsenziya shartlariga rioya qilgan holda litsenziar ushbu erkinliklarni bekor qila olmaydi. Quyidagi shartlar asosida:
Atribut - Siz tegishli kredit berishingiz, litsenziyaga havolani taqdim etishingiz va o'zgartirishlar kiritilganligini ko'rsatishingiz kerak. Siz buni har qanday oqilona yo'l bilan qilishingiz mumkin, lekin litsenziar sizni yoki sizning foydalanishingizni ma'qullashini taklif qiladigan tarzda emas.
Notijorat - Siz materialdan tijorat maqsadlarida foydalana olmaysiz.
Hech qanday qo'shimcha cheklovlar yo'q - Siz boshqalarga litsenziya ruxsat bergan har qanday harakatni qonuniy ravishda cheklaydigan qonuniy shartlar yoki texnologik choralarni qo'llay olmaysiz.
