A Brief Overview of Causal Analysis [Microsoft]

What this episode covers

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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Frequently Asked Questions

How long is this episode of Snacks Weekly on Data Science?

This episode is 8 minutes long.

When was this Snacks Weekly on Data Science episode published?

This episode was published on January 20, 2025.

What is this episode about?

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...

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