Data Science and Machine Learning (Theory and Projects) A to Z - Expectations: Law of Large Numbers Famous Distributions

The video tutorial explores the concept of the law of large numbers using Python. It demonstrates how increasing the sample size of various distributions, such as Bernoulli, geometric, binomial, and normal, leads the sample mean to converge to the expected value. The tutorial also highlights the importance of the law of large numbers in parameter estimation and introduces concepts like maximum likelihood estimation and KL divergence.

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