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Data science tutorial: causal inference model selection | Jonathan Hershaff

Data science tutorial: causal inference model selection | Jonathan Hershaff

Like hyper-parameter tuning, model selection techniques are commonplace in machine learning but often overlooked in the causal inference space. I've sat in plenty of seminars with data scientists who had a time series and a limited set of treated units who chose a model and went with it without testing alternatives. This can have important ...

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Causal Inference Methods

Methods for Causal Inference Lecture 1

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Machine learning can use causal inference to make sense of data and to improve robustness and generalizability of models. In an on-demand webinar with Amit Sharma and Emre Kiciman, find out how to start with causal inference in your work. Register now: https://aka.ms/AAaj77n | Microsoft Research

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