Finding Causality in Large Data Using Propensity Score Matching10/04/2017 Objective: Inspiration PSM is an emerging statistical technique to study the causal effect of an intervention on a particular outcome. This talk will provide an overview of causal inference techniques and suggest strategies for making it part of the data scientist's toolkit. The talk entails a Python toolkit, available on GitHub, as a practical tool for researchers to conduct causal inference. Speaker(s)
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