MACHINE LEARNING (ML) ALGORITMLARI YORDAMIDA YOSHLARNI QIZIQISHLARINI ANIQLASH ALGORITMLARI VA DASTURIY MAJMUASI.
Abstract
Ushbu maqolada machine learning (ML) algoritmlari yordamida O‘zbekiston yoshlarining qiziqishlarini aniqlash algoritmlari va dasturiy majmuasi ishlab chiqilgan. Tadqiqot oliy ta’lim muassasalari mutaxassislari va talabalari uchun dolzarb bo‘lgan mavzuni qamrab oladi. O‘zbekiston sharoitida yoshlarning kasbiy yo‘nalishi, ta’lim samaradorligi va mehnat bozoridagi talablar o‘rtasidagi nomutanosiblikni bartaraf etish maqsadida ML texnologiyalaridan foydalanish zarurati ta’kidlangan. Maqolada mavzuning dolzarbligi, xalqaro va mahalliy adabiyotlar tahlili, metodologiya, natijalar, muhokama hamda xulosalar keltirilgan. Dataset 5200 nafar O‘zbekiston yoshlarining so‘rovnomalari asosida shakllantirilgan bo‘lib, unda yosh, jins, ta’lim darajasi, ijtimoiy tarmoq faolligi, oilaviy sharoit va o‘z-o‘zini baholash kabi xususiyatlar qamrab olingan. Tanlangan algoritmlar – Random Forest va sun’iy neyron tarmoqlar – yuqori aniqlikka erishgan. Dasturiy majmua Python tilida, scikit-learn va TensorFlow kutubxonalari yordamida yaratilgan bo‘lib, veb-interfeys orqali real vaqt rejimida qiziqishlarni bashorat qilish va individual tavsiyalar berish imkonini beradi. Natijalar shuni ko‘rsatadiki, modelning aniqligi 92,7 foizni tashkil etgan, bu esa an’anaviy usullardan sezilarli darajada ustunlikni ta’minlaydi. Ushbu tizim yoshlar ta’limida shaxsiy yo‘naltirilgan yondashuvni rivojlantirish, kasbiy yo‘l tanlashda xatoliklarni kamaytirish va “Raqamli O‘zbekiston-2030” strategiyasini amalga oshirishda muhim vosita bo‘lishi mumkin. Tadqiqot natijalari oliy ta’lim muassasalarida amaliy qo‘llash uchun tavsiyalar bilan yakunlanadi. (238 so‘z)
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