👉 cpd is a concept in statistics and machine learning, which stands for Central Limit Theorem. In other words, it refers to the central limit theorem, which states that the distribution of sample means approaches a normal distribution as the sample size increases.
The central limit theorem describes how the mean (average) of many random samples converges towards a normal distribution when the number of samples is large enough. This theorem allows us to make inferences about population parameters based on the sample data, even if the
cpd