Causal ML Insights
Emre discusses the potential of causal ML models in enhancing decision-making by focusing on cause-and-effect relationships. However, he notes that conventional machine learning approaches still hold value in scenarios where data distribution remains stable, as they can capture predictive patterns that causal methods might overlook. The conversation highlights the balance between the innovative capabilities of causal ML and the established strengths of traditional methods.In this clip
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