Law of Large Numbers (R demo) | Statistics & probability | Machine Learning

The Law of Large Numbers is a fundamental concept in the field of Statistics and Probability which states that if a random experiment is performed over a large number of times, the average of the empirical outcome would be close to the actual or theoretical average outcome.



Here we have taken the example of dice experiment to showcase how the empirical average outcome would converse to theoretical average when performed for infinite number of times (very large N)