Bayes’ Theorem

<h2><strong>Introduction:</strong></h2> <p>In the vast realm of probability and statistics, Bayes&rsquo; Theorem stands as a cornerstone, offering a profound understanding of conditional probability. Named after Reverend Thomas Bayes, an 18th-century statistician and theologian, this theorem provides a systematic framework for updating beliefs based on new evidence. Let&rsquo;s embark on a journey to explore the intricacies of Bayes&rsquo; Theorem and its applications in real-world scenarios.</p> <h2><strong>Understanding Bayes&rsquo; Theorem:</strong></h2> <p>At its core, Bayes&rsquo; Theorem deals with conditional probability, assessing the likelihood of an event given prior knowledge. It is expressed mathematically as:</p> <p><a href="https://medium.com/@dugaryash/bayes-theorem-b5c4b9d7ef9c"><strong>Read More</strong></a></p>