INTEGRATION OF NEUROTECHNOLOGIES AND MACHINE LEARNING: A NOVEL METHODOLOGY FOR STATISTICAL ANALYSIS OF BIG DATA STREAMS

Авторы

  • Munavvarkhon Mukhitdinova PhD, Doctoral (DSc) student at the Institute for Advanced Studies and Statistical Research

DOI:

https://doi.org/10.55439/EIT/vol13_iss1/636

Ключевые слова:

neurotechnologies, machine learning, big data, scalability and adaptability, real-time processing, cognitive systems, digital transformation

Аннотация

This paper presents a new method of integrating neurotechnologies and machine learning (ML) for streaming big data statistical analysis. The method combines the flexibility of ML with cognitive modeling to address challenges in real-time processing, multidimensional data, and decision making in situations of uncertainty. The results show dramatic improvements in scalability, precision, and flexibility, with applications in finance, healthcare, and smart cities.

Библиографические ссылки

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http://interfinance.tfi.uz/?p=2894

Загрузки

Опубликован

2025-02-28

Как цитировать

Munavvarkhon Mukhitdinova. (2025). INTEGRATION OF NEUROTECHNOLOGIES AND MACHINE LEARNING: A NOVEL METHODOLOGY FOR STATISTICAL ANALYSIS OF BIG DATA STREAMS. Economics and Innovative Technologies, 13(1), 97–100. https://doi.org/10.55439/EIT/vol13_iss1/636

Выпуск

Раздел

Миллий иқтисодиёт тармоқ ва соҳаларида ахборот-коммуникация технологияларини қўллаш