Understanding Skewness and Kurtosis in Machine Learning
This article explores the mathematics, intuition, and practical application of higher-order moments like skewness and kurtosis. Understanding these statistical measures is crucial for data scientists because they help reveal distribution asymmetries and outlier risks, ultimately improving the accuracy and performance of machine learning models on complex datasets.
Source: Towards Data Science