RAQAMLI IQTISODIYOT SHAROITIDA STATISTIK MA’LUMOTLARNI SUN’IY INTELLEKT ASOSIDA TAHLIL QILISH IMKONIYATLARI
DOI:
https://doi.org/10.5281/zenodo.21037204Ключевые слова:
raqamli iqtisodiyot, sun’iy intellekt, statistik tahlil, mashinaviy o‘qitish, katta ma’lumotlar, bashoratli tahlil, neyron tarmoq, davlat statistikasiАннотация
Ushbu maqolada raqamli iqtisodiyot sharoitida statistik ma’lumotlarni sun’iy intellekt (SI)
texnologiyalari asosida tahlil qilish imkoniyatlari nazariy va amaliy jihatdan o‘rganilgan. Mualliflar an’anaviy
statistik usullarning katta hajmli, tezkor va xilma-xil ma’lumotlar (Big Data) bilan ishlashdagi cheklovlarini aniqlab,
mashinaviy o‘qitish (ML) va chuqur o‘qitish (DL) modellarining tavsifiy, bashoratli hamda yo‘naltiruvchi tahlildagi
ustunliklarini ko‘rsatgan. Qiyosiy tahlil natijalariga ko‘ra, SI asosidagi modellar talab prognozi, anomaliyalarni
aniqlash, segmentlash va matnli ma’lumotlar tahlilida aniqlikni o‘rtacha 17–28 foiz bandga oshiradi. Maqolada
O‘zbekiston Respublikasining raqamli iqtisodiyotni rivojlantirish siyosati kontekstida davlat statistikasini
intellektuallashtirishning ustuvor yo‘nalishlari va asosiy muammolari (ma’lumotlar sifati, interpretatsiya, kadrlar
va infratuzilma) muhokama qilingan.
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