Causal Machine Learning: Where ML Meets Causality

Causal machine learning blends machine learning with causal inference to uncover cause-and-effect relationships. Unlike traditional models that focus on patterns and correlations, this approach empowers you to make decisions based on deeper insights. For example, frameworks like Bayesian networks help you manage uncertainty by leveraging prior knowledge…