Machine Learning Experiments Done Right | by Nura Kawa - Towards Data Science

The article discusses designing rigorous machine learning experiments to ensure reliability and reproducibility, likening it to gardening by controlling inputs (like soil quality for plants) while managing uncontrollable factors. It relates to tags like experiment design, causal inference, and validity, fundamentally connecting scientific approaches to educational technology and research.