The Sequence Scope: Microsoft’s Causal Inference Just Got Better with PyWhy

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📝 Editorial: Microsoft’s Causal Inference Just Got Better with PyWhy

Causal inference is one of the classic scenarios in data science and one that is not particularly well covered in machine learning (ML) frameworks. While most ML methods focus on predicting a specific outcome, causal inference focuses on understanding the cause-effect relationships in a given environment. The bible of causal inference is The Book of Why, published a few years ago by Turing Award winner Judea Pearl. Inspired by Pearl’s book, Microsoft Research open-sourced a library called DoWhy, which quickly became one of the most popular frameworks for causal inference, with dozens of data scientists actively contributing to it. This week, Microsoft…