METHODS OF INTELLECTUAL DATA ANALYSIS: MACHINE LEARNING, DEEP LEARNING AND PREDICTION MODEL ANALYSIS

Kho'jaev, Otabek, Ruzmetova, Zilola

Techscience.uz - техника фанлари долзарб масалалри · 2025-yil

Annotatsiya

This article examines modern approaches to data mining, including machine learning, deep learning, and predictive modeling. The study analyzes algorithmic efficiency, accuracy indicators, and application domains. Special emphasis is placed on uncovering hidden patterns within complex datasets and highlighting their contribution to scientific and technological development as well as decision-making effectiveness in practice.

Maqola ma’lumotlari
MualliflarKho'jaev, Otabek, Ruzmetova, Zilola
JurnalTechscience.uz - техника фанлари долзарб масалалри
Nashr sanasi2025-10-23
Jild3
Son9
Betlar4-7
TilO‘zbek
DOI10.47390/ts-v3i9y2025no1

Kalit so‘zlar

data mining, machine learning, deep learning, predictive models, artificial intelligence, algorithmic efficiency., ma’lumotlarni intellektual tahlil, mashinaviy o‘qitish, c huqur o‘rganish, bashorat modellari, sun’iy intellect, algoritmik samaradorlik.

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