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CausalML Weekly
Por: Jeong-Yoon Lee
Welcome to CausalML Weekly, the podcast where data meets decision-making.
Join us as we explore the intersection of causal inference, machine learning, and real-world applications. This show will break down cutting-edge methods, foundational theory, and practical deployment of causal models.
In each episode, we distill insights from influential literature, summarize complex topics with clarity, and sometimes bring on experts to discuss how causal inference is transforming industries—from uplift modeling and A/B testing to policy evaluation and personalized treatment strategies.
Join us as we explore the intersection of causal inference, machine learning, and real-world applications. This show will break down cutting-edge methods, foundational theory, and practical deployment of causal models.
In each episode, we distill insights from influential literature, summarize complex topics with clarity, and sometimes bring on experts to discuss how causal inference is transforming industries—from uplift modeling and A/B testing to policy evaluation and personalized treatment strategies.
18 episodios disponibles
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