
Ushbu maqolada sun’iy intellekt texnologiyalarining rivojlanishi , uning imkoniyatlari haqida, yana matematikaning bir bo’lagi bo’lgan ehtimollar nazariyasi masalalarini yechishda sun’iy intellekt texnologiyalarining nazariy va amaliy jihatlari, tadqiqot jarayonida ehtimollar nazariyasining klassik matematik asoslari hamda sun’iy intellekt algoritmlarining ehtimollik modellariga tayangan mexanizmlari tahlil qilinadi. Rus va ingliz olimlarining tadqiqotlari asosida ehtimollik masalalarini avtomatlashtirilgan tarzda yechishda mashinaviy o‘rganish, Bayes yondashuvi va neyron tarmoqlarning o‘rni yoritib beriladi. Olingan natijalar ehtimollik masalalarini yechish samaradorligini oshirish hamda matematik ta’lim va ilmiy tadqiqotlarni takomillashtirishda muhim ahamiyatga ega ekanligi yoritiladi.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
