
Cause and effect – or why the 2021 Nobel Prize is nothing less than an empirical revolution | with Paul Hünermund
Game Changer - the game theory podcast
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The Role of Machine Learning in Causal Analysis
This chapter explores how machine learning can be used to analyze large data sets and find causal relationships, which is highly policy relevant. It also discusses the limitations of standard machine learning techniques and invites listeners to provide feedback and subscribe to the podcast.
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