KATTA MA’LUMOTLARNI (BIG DATA) TAHLIL QILISHDA MATEMATIK USULLAR

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Issue: Vol. 4 No. 3 : Bulletin of students of new Uzbekistan
Section: Articles
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Guliston Davlat universiteti Amaliy matematika yo’nalishining 2-kurs talabasi
info@in-academy.uz

Abstract:

Ushbu maqola katta ma’lumotlar (Big Data) tahlilida qo‘llaniladigan matematik metodlarni yoritadi. Unda statistik metodlar, ehtimollik nazariyasi, regressiya tahlili (chiziqli, ko‘p o‘zgaruvchili, logistik), klassifikatsiya va klasterlash algoritmlari (K-NN, qaror daraxtlari, Naive Bayes, K-means), chiziqli algebra va asosiy komponentlar tahlili (PCA), shuningdek stoxastik jarayonlar (Markov zanjirlari) batafsil ko‘rib chiqilgan. Maqolada Python dasturlash tili yordamida amaliy misollar keltirilgan, shuningdek O‘zbekiston sharoitida katta ma’lumotlar tahlilining ilmiy va amaliy qo‘llanilishi tahlil qilingan. Tadqiqotlar shuni ko‘rsatadiki, ushbu metodlar birgalikda ishlatilganda ma’lumotlarni samarali modellashtirish, tahlil qilish va kelajak natijalarni ishonchli prognoz qilish imkonini beradi.

Article Details

How to Cite:

Asrorova , M. . (2026). KATTA MA’LUMOTLARNI (BIG DATA) TAHLIL QILISHDA MATEMATIK USULLAR. Bulletin of Students of New Uzbekistan, 4(3), 72–75. Retrieved from https://in-academy.uz/index.php/yota/article/view/77277

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