From f5a778849ef05c28db7506e2085fd6d4634697b8 Mon Sep 17 00:00:00 2001
From: Dhruv Jaradi <112489039+JDhruv14@users.noreply.github.com>
Date: Sat, 19 Apr 2025 11:37:34 +0530
Subject: [PATCH] Updated a sentence in History of ML page

---
 1-Introduction/2-history-of-ML/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/1-Introduction/2-history-of-ML/README.md b/1-Introduction/2-history-of-ML/README.md
index 48e519e1..f40f2127 100644
--- a/1-Introduction/2-history-of-ML/README.md
+++ b/1-Introduction/2-history-of-ML/README.md
@@ -18,7 +18,7 @@ The history of artificial intelligence (AI) as a field is intertwined with the h
 ---
 ## Notable discoveries
 
-- 1763, 1812 [Bayes Theorem](https://wikipedia.org/wiki/Bayes%27_theorem) and its predecessors. This theorem and its applications underlie inference, describing the probability of an event occurring based on prior knowledge.
+- [Bayes' Theorem](https://wikipedia.org/wiki/Bayes%27_theorem), first published in 1763 and later refined by Pierre-Simon Laplace in 1812, underlies statistical inference by describing how to update the probability of an event based on prior knowledge and new evidence.
 - 1805 [Least Square Theory](https://wikipedia.org/wiki/Least_squares) by French mathematician Adrien-Marie Legendre. This theory, which you will learn about  in our Regression unit, helps in data fitting.
 - 1913 [Markov Chains](https://wikipedia.org/wiki/Markov_chain), named after Russian mathematician Andrey Markov, is used to describe a sequence of possible events based on a previous state.
 - 1957 [Perceptron](https://wikipedia.org/wiki/Perceptron) is a type of linear classifier invented by American psychologist Frank Rosenblatt that underlies advances in deep learning.