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InTDS ArchivebyArthur MelloCausal Inference: an OverviewFind out when correlation actually means causationJun 29, 20221Jun 29, 20221
Leihua Ye, PhDWhy Data Scientists Should Learn Causal InferenceClimb up the ladder of causationJul 5, 202212Jul 5, 202212
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InNetflix TechBlogbyNetflix Technology BlogDecision Making at NetflixPart 1 in a multipart series about decision making and experimentation at NetflixSep 7, 202114Sep 7, 202114
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InNetflix TechBlogbyNetflix Technology BlogA Survey of Causal Inference Applications at NetflixAt Netflix, we want to entertain the world through creating engaging content and helping members discover the titles they will love. Key to…May 21, 20223May 21, 20223
InTDS ArchivebyMarin VlastelicaCausal vs. Statistical InferenceWhy is correlation not enough, or is correlation enough for inference? The question bugging the scientific community for a century.Jun 16, 20198Jun 16, 20198
InDataman in AIbyChris Kuo/Dr. DatamanIdentify Causality by Fixed Effects ModelsIt is well known that “correlation does not mean causation”. I am going to tell you, correlation can mean causation but only when certain…Mar 17, 20202Mar 17, 20202
Vivekananda DasRegression and Causal Inference: How Causal Graphs Helped Me Overcome 3 Key MisconceptionsRegression analysis is mainly used for predictive modeling and causal inference. However, based on my experience and understanding…Jun 11, 20213Jun 11, 20213
Indata from the trenchesbyJean-Yves GérardyEnterprise Causal Inference: Beyond Churn ModelingTo best plan a personalised marketing campaign, we’ll see how Causal Inference can help tackle churn retention.Apr 28, 20213Apr 28, 20213
