This article explains the importance of descriptive statistics in Machine Learning (ML). It covers various statistical methods used in ML, including descriptive statistics, hypothesis testing, and loss functions. The article emphasizes the validity of the Central Limit Theorem (CLT) and how it simplifies the analysis of data in ML. It also discusses non-parametric and parametric hypothesis tests, and how they …
