MASHINAVIY O'QITISH ALGORITMLARIASOSIDA MAKTAB BITIRUVHILARINING YO'NALISHLARINI ANIQLASH MODELI
Annotatsiya
Ushbu maqolaning maqsadi mashinaviy o‘qitish (machine learning) usullaridan foydalangan
holda maktab o‘quvchilarini fanlardan olgan baholari va softskills ko‘nikmalari bo‘yicha ularning yo‘nalishlarini
aniqlashdir. Maqolada ko‘p o‘zgaruvchili chiziqli regressiya yordamida sigmoid funksiya qurish murakkabliklari
ko‘rib chiqildi hamda o‘quvchilarni 10 yil davomida ta’lim yo’nalishi bo‘yicha tanlangan fanlardan olingan baholari
va ularni turli parametrlari, sabablari hamda o‘quvchining imkoniyatlari raqamlashtirildi. Ushu raqamlar yordamida
trening ma’lumotlar top‘lami tashkil qilindi. Natijada maktab o‘quvchilarini 10 yil davomida o‘qigan fanlari va
ulardan oligan baholarining klassifikatsiyasi ishlab chiqildi. Neyron tarmoq arxitekturalari, modullari, mashinaviy
o‘qitish algoritmlarida eng ko‘p qo‘llanilayotgan aktivlashtirish funksiyalari, o‘qitish usullari hamda chiziqli va
logistik regressiya qurish usullari, kamchiliklari va imkoniyatlari tahlil qilingan. Ko‘p o‘zgaruvchili chiziqli regressiya
uchun gradiyent tusish funksiyasini vektorlangan hisoblash orqali qulaylashtirish yo‘llari o‘rganib chiqildi. Chiziqli
regressiyaning bu turida juda ko‘p o‘zgaruvchilar qatnashganligi uchun vektor hisob-kitoblar ancha qulayli isbotlangan.
Vektor hisoblashlar yordamida gradiyent tushish jarayonlarini parallel hisoblash yo‘llari ham ko‘rib o‘tilgan. Hususan,
trening ma’lumotlar jadvalining ustunlarini qo‘shish, koeffitsiyentlarni transpozitsiyalash - AT, chiziqli funksiyaning
vektorlangan ko‘rinishlari, gradiyent tushish uchun giperparametrlar (o‘rganish darajasi - , qadamlar soni) aniqlab
olindi.
Kalit so'zlar
ustunlarini qo‘shish, koeffitsiyentlarni transpozitsiyalash - AT, chiziqli funksiyaning vektorlangan ko‘rinishlari, gradiyent tushish uchun giperparametrlar
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