Ключевые слова
Аннотация
Ushbu tezis ma'lumotlar bilan ishlashda sun'iy intellekt (SI) modellarining ishlash printsiplari va ularni optimallashtirish usullarini chuqur o'rganadi. Zamonaviy SI modellarining turli xil ma'lumotlar turlari bilan ishlash qobiliyati, shu jumladan katta hajmli va murakkab strukturali ma'lumotlarni qayta ishlash jarayonlari batafsil tahlil qilinadi. Tezisda modellarning o'qitish algoritmlari, xususan, chuqur o'rganish (deep learning) va mashina o'rganish (machine learning) usullarining qiyosiy tahlili, shuningdek, ularning ishlashini optimallashtirish uchun qo'llaniladigan zamonaviy yondashuvlar va texnikalar keng muhokama qilinadi. Tadqiqot natijalari SI modellarining samaradorligini oshirish va ularning turli sohalardagi amaliy qo'llanilishini kengaytirish imkoniyatlarini ko'rsatadi.
Библиографические ссылки
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