Explore the intricate relationship between causation and correlation from a physicist's perspective, highlighting the challenges and insights in defining causation.

An exploration of Empirical Risk Minimization (ERM) in machine learning, illustrating its principles and applications.

Exploring the concept of inductive bias in machine learning and its importance in preventing overfitting.

Discover essential steps to learn statistics effectively, even without a formal background, and unlock the potential of data analysis.

A critical look at how multiple regression can be misused in studies, leading to misleading conclusions about health and mortality.

Explore the profound insights of Abraham Wald, a mathematician whose work on survivorship bias transformed military strategy during WWII.

This article explores how to perform Student’s t-test for comparing two groups using R and manual calculations.

An exploration of false positives, negatives, and Bayes' rule in COVID-19 testing.