From Predictive Algorithms to Automatic Generation of Anomalies
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https://www.nber.org/papers/w32422
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资源简介：
Machine learning algorithms can find predictive signals that researchers fail to notice; yet they are notoriously hard-to-interpret. How can we extract theoretical insights from these black boxes? History provides a clue. Facing a similar problem how to extract theoretical insights from their
提供机构：
美国国家经济研究局
创建时间：
2024-05-01
