Understanding the Central Limit Theorem (CLT): A Key Concept in Statistics and Machine Learning
The Central Limit Theorem (CLT) is a fundamental principle in statistics that underpins many of the methods and techniques used in data analysis, machine learning, and scientific research. By explaining how the sample means of independent and identically distributed (i.i.d.) random variables converge to a normal distribution, the CLT provides the foundation for probabilistic inferences … Read more