Causal inference (Practical AI #220)
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The Value of Causal AI in Business
The next question that's probably a good foundational one is the why. I don't know if you've seen this with all of this sort of hype around large language models that are incredibly non interpretable or produce, you know, things that are very factually incorrect or unexplainable. But how should a data scientist working in an enterprise, let's say, like to reason about causal inference rather than just making good predictions? Yeah. So maybe it helps if I've defined first what I mean exactly with causal inference because there's actually neat definition by James Woodward who said that causal machine learning is a special kind of prediction problem. In business always involves actions interventions and we want to forecast predict
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