Machine Learning Insights
Susan discusses the power of machine learning in handling complex data sets with numerous variables, allowing for a more flexible and data-driven approach to model selection. She contrasts traditional methods that rely on subjective proxies with the objective nature of machine learning, emphasizing the importance of controlling for multiple factors when measuring causal effects. The conversation also touches on the evolution of statistical analysis tools and the potential pitfalls of applying machine learning without an economic perspective.In this clip
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EconTalk
Susan Athey on Machine Learning, Big Data, and Causation
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