A Brief Overview of Causal Analysis [Microsoft]
An episode of the Snacks Weekly on Data Science podcast, hosted by Pan Wu, titled "A Brief Overview of Causal Analysis [Microsoft]" was published on January 20, 2025 and runs 8 minutes.
January 20, 2025 ·8m · Snacks Weekly on Data Science
Summary
In this episode, we will explore the foundational concepts of causal analysis, focusing on its two main pillars: causal discovery and causal inference. We will discuss the types of questions these pillars aim to answer and provide illustrations of related methodologies to better clarify their concepts. For more details, you can refer to their published tech blog, linked here for your reference: https://medium.com/data-science-at-microsoft/causal-analysis-overview-causal-inference-versus-experimentation-versus-causal-discovery-d7c4ca99e3e4
Episode Description
In this episode, we will explore the foundational concepts of causal analysis, focusing on its two main pillars: causal discovery and causal inference. We will discuss the types of questions these pillars aim to answer and provide illustrations of related methodologies to better clarify their concepts.
For more details, you can refer to their published tech blog, linked here for your reference: https://medium.com/data-science-at-microsoft/causal-analysis-overview-causal-inference-versus-experimentation-versus-causal-discovery-d7c4ca99e3e4
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