К содержанию
РецензированоEN2025

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-превью

Bayes` 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.

DOI не указан
Цитирований
0
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
Спросить CiteX об этой работе

Смежные источники