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Data science tutorial: causal inference model selection | Jonathan Hershaff

Data science tutorial: causal inference model selection | Jonathan Hershaff

Like hyper-parameter tuning, model selection techniques are commonplace in machine learning but often overlooked in the causal inference space. I've sat in plenty of seminars with data scientists who had a time series and a limited set of treated units who chose a model and went with it without testing alternatives. This can have important ...

8K views1 week ago

Causal inference Definition

Causal Inference - EXPLAINED!

Causal Inference - EXPLAINED!

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14. Causal Inference, Part 1

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