Causal inference (Practical AI #220)
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How to Implement Causal Approaches Into Your Workflow
The epistemological challenge is that we cannot do causal inference in a purely data drum way. We need to complement this with background knowledge and there it depends I guess right like how also the data science team is structured in an organization. Practically speaking there are all sorts of tools out there in the standard software languages so you really need to know what kind of libraries are out there for example in Python. The do Y package by Microsoft really became a standard industry wide because they also have this kind of causal inference pipeline implemented in the package.
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