Научные статьиM.H.Sayidova, S.U.Pulatova2025
BAYES` THEOREM AND ITS PRACTICAL APPLICATIONS
Nurmanova E`zoza Ulug’bek qizi (Student of “Applied Mathematics” branch of Jizzakh National University of) · Adizova Maftuna Bahodirovna (Student of “Applied Mathematics” branch of Jizzakh National University of) · Ko`charova Zarinso Yusuf qizi (Student of “Applied Mathematics” branch of Jizzakh National University of) · Abdurasulova Aziza G`ayrat qizi (Student of “Applied Mathematics” branch of Jizzakh National University of)
Современное образование и развитие · 2025
Аннотация
Bayes` theorem is a fundamental concept in probability theory that provides a framework for updating probabilities based on new evidence. This article explores the mathematical foundation of Bayes`theorem, its formula, and real-life applications in various domains, including spam filtering, medical diagnostics, artificial intelligence, finance, and weather forecasting. Several practical examples are presented to illustrate its utility in decision-making. The theorem plays a crucial role in Bayesian inference, enabling accurate predictions and informed decisions in diverse fields. Keywords: Bayes`theorem, Bayesian inference, probability theory, machine learning, artificial intelligence, medical diagnostics, spam filtering, finance, risk assesssment, classification problems, decision-making.
Доказательный фрагмент
«Bayes` theorem is a fundamental concept in probability theory that provides a framework for updating probabilities based on new evidence.»
Образец извлечения
Демо-превьюBayes` theorem is a fundamental concept in probability theory that provides a framework for updating probabilities based on new evidence. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.
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- Тип
- Журнал
- Страна
- Узбекистан
- Ключевые слова
- Bayes`theorem, Bayesian inference, probability theory, machine, medical diagnostics, classification problems, risk assesssment, finance, decision-making., artificial intelligence, spam filtering, machine learning
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