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Estimate causal effects with ML

ニュース&特集

A flowchart showing the DoWhy library process. Input Data and Domain Knowledge are injected into the library, where they go through four steps: Model causal mechanisms; Identify target estimands; Estimate causal effect; and Refute estimate. The process produces the output labelled Causal effect.
Microsoft Research ブログ

| Emre Kiciman と Amit Sharma

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Hunt Allcott and Greg Lewis on the Microsoft Research Podcast
Microsoft Research ポッドキャスト

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