Open Internet by MindsNet

Insufficient causal inference in data science

Current data science methods often rely on correlation rather than causal inference, leading to flawed decision-making in real-world systems. This limitation can result in incorrect conclusions and ineffective solutions. There is a need for more robust methods to establish causality.

Computing & Technology, Information Technology, Data Science