BAYES` THEOREM AND ITS PRACTICAL APPLICATIONS

##article.authors##

  • Nurmanova E`zoza Ulug’bek qizi ##default.groups.name.author##
  • Adizova Maftuna Bahodirovna ##default.groups.name.author##
  • Ko`charova Zarinso Yusuf qizi ##default.groups.name.author##
  • Abdurasulova Aziza G`ayrat qizi ##default.groups.name.author##

##semicolon##

Bayes`theorem, Bayesian inference, probability theory, machine learning, artificial intelligence, medical diagnostics, spam filtering, finance, risk assesssment, classification problems, decision-making.

##article.abstract##

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.

##submission.authorBiographies##

  • Nurmanova E`zoza Ulug’bek qizi

    Student of “Applied Mathematics” branch of Jizzakh National University of Uzbekistan

  • Adizova Maftuna Bahodirovna

    Student of “Applied Mathematics” branch of Jizzakh National University of Uzbekistan

  • Ko`charova Zarinso Yusuf qizi

    Student of “Applied Mathematics” branch of Jizzakh National University of Uzbekistan

  • Abdurasulova Aziza G`ayrat qizi

    Student of “Applied Mathematics” branch of Jizzakh National University of Uzbekistan

##submissions.published##

2025-02-15