InData HackersbyEdson JuniorControle Sintético: Como Aplicar Inferência Causal na PráticaUma abordagem para identificar e medir impactos de intervenções reaisNov 28, 2024Nov 28, 2024
InTDS ArchivebyEyal Kazin PhD🧠🧹 Causality - Mental Hygiene for Data ScienceHarness The Power of Why with Causal Tools.Nov 28, 20242Nov 28, 20242
InTDS ArchivebySamuele MazzantiUsing Causal ML Instead of A/B TestingIn complex environments, Causal ML is a powerful tool because it is more flexible than A/B Testing, and it doesn’t require strong…Nov 29, 202217Nov 29, 202217
Robson TigrePart 1: Simplifying causal inference to connect stakeholders and data scientistsBridging the causal inference gap between business and data peopleAug 27, 2024Aug 27, 2024
InAI AdvancesbyJimmy Hajime TakedaUplift Modeling: Advanced Customer Targeting with Causal Machine LearningExploring the Concepts, Algorithms, and Code with CausalMLSep 22, 202412Sep 22, 202412
InTDS ArchivebyArthur CruiziatFrom insights to impact: leveraging data science to maximize customer valueUplift modeling: how causal machine learning transforms customer relationships and revenueAug 13, 20244Aug 13, 20244
InTDS ArchivebyEyal Kazin PhD➡️ Start Asking Your Data “Why?” - A Gentle Intro To CausalityBegin your causal journey with visual demonstrations and resources.Sep 12, 20244Sep 12, 20244
InTDS ArchivebyLukasz SzubelakExploring causality in Python. Difference-in-differencesEstablishing causality is one of the most important (although quite often neglected) areas of analytical work. In an upcoming series of…Apr 8, 20247Apr 8, 20247
InTDS ArchivebyLukasz SzubelakCausal Inference with Python: A Guide to Propensity Score MatchingAn introduction to estimating treatment effects in non-randomized settings using practical examples and Python codeJul 2, 20244Jul 2, 20244