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4min chapter
Causal inference (Practical AI #220)
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The Importance of Causal Inference
Paul: Could you give us a broad sketch of currently what are the main categories of approaches within causal inference and how can we think about those? Like from really broad categorization traditionally people that divided the field into experimental and observational methods. The new kid on the block are the computer scientists who edge up fast in causal inference, they develop these techniques like directed acyclographs,. causal reinforcement learning so all sorts of exciting streams of literature coming up these days.
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