Insight Miner

인과추론 라이브러리 https://py-why.github.io/dowhy/v0.8/ DoWhy | An end-to-end library for causal inference — DoWhy documentation DoWhy | An end-to-end library for causal inference Much like machine learning libraries have done for prediction, “DoWhy” is a Python library that aims to spark causal thinking and analysis. DoWhy provides a principled four-step interface for causal in py-why.github.io https:/..

아마존에서 진행한 Root Cause Analysis에 대한 연구논문 블로그: https://www.amazon.science/blog/new-method-identifies-the-root-causes-of-statistical-outliers New method identifies the root causes of statistical outliers Amazon ICML paper proposes information-theoretic measurement of quantitative causal contribution. www.amazon.science 논문: https://assets.amazon.science/0d/25/3de76886443c822581cf907e5385/causal-struc..