STATISTIK MA’LUMOTLARNI QAYTA ISHLASHDA MASHINALI O‘RGANISH USULLARIDAN FOYDALANISH IMKONIYATLARI

STATISTIK MA’LUMOTLARNI QAYTA ISHLASHDA MASHINALI O‘RGANISH USULLARIDAN FOYDALANISH IMKONIYATLARI

Authors

  • Shoxruz Shohsuvor o‘g‘li Ochilov O‘zbekiston Respublikasi Prezidenti huzuridagi Statistika agenligi. Kadrlar malakasini oshirish va statistik tadqiqotlar instituti mustaqil izlanuvchisi.

DOI:

https://doi.org/10.54613/ku.v12i.986

Keywords:

Mashinani o‘rganish, statistik ma’lumotlarni qayta ishlash, tasodifiy o‘rmonlar, vektorli mashinalarni qo‘llab-quvvatlash (SVM), uzoq qisqa muddatli xotira (LSTM), bashoratli tahlillar, ma’lumotlarni modellashtirish, vaqt seriyasini prognozlash, ma’lumotlar samaradorligi, modelni talqin qilish.

Abstract

Ushbu maqolada statistik ma’lumotlarni qayta ishlashda mashinani o‘rganish usullaridan foydalanish imkoniyatlari yoritib berilgan hamda ularning an’anaviy statistik usullarga nisbatan afzalliklari muhokama qilinadi. Shuningdek, maqola muammolarni yumshatishda foydani maksimal darajada oshirish uchun statistik ma’lumotlarning ish jarayonlariga mashinani o‘rganishni integratsiya qilish bo‘yicha amaliy takliflar ham berilgan.

Foydalanilgan adabiyotlar:

Statista Research Department. (2023). Global Data Creation and Replication 2010-2025. https://www.statista.com/statistics/871513/worldwide-data-created/

McKinsey & Company. (2023). The State of AI in 2023: Key Findings and Trends. https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/the-state-of-ai-in-2023

James, G., Witten, D., Hastie, T., & Tibshirani, R. (2023). An Introduction to Statistical Learning: with Applications in R (2nd ed.). Springer.Pages: 145-170

Murphy, K. P. (2023). Machine Learning: A Probabilistic Perspective. MIT Press.Pages: 210-245

Breiman, L. (2023). Random Forests. Machine Learning Journal, 45(1), 5-32.Pages: 5-32

Kuhn, M., & Johnson, K. (2023). Applied Predictive Modeling. Springer.Pages: 195-230

Altman, N. S. (2023). Time Series Forecasting with Machine Learning: An Application of LSTM Networks. Journal of Data Science and Applications, 12(2), 98-112.Pages: 98-112

Vogt, W. P., & Nagel, S. (2023). Economic Forecasting with Machine Learning: Advances in Gradient Boosting and Random Forests. Journal of Economic Methods, 35(4), 120-145.Pages: 120-145

Published

2024-09-30

Iqtiboslik olish

Ochilov, S. S. o‘g‘li. (2024). STATISTIK MA’LUMOTLARNI QAYTA ISHLASHDA MASHINALI O‘RGANISH USULLARIDAN FOYDALANISH IMKONIYATLARI. QO‘QON UNIVERSITETI XABARNOMASI, 12, 44–48. https://doi.org/10.54613/ku.v12i.986

Issue

Section

Iqtisodiyot / Economy
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