Julian TszKin Chan
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Julian TszKin Chan

Julian TszKin Chan is a senior economist at Bates White Economic Consulting. Weifeng Zhong is a research fellow in economic policy studies at the American Enterprise Institute.

Machine Learning With A Twist: How Trivial Labels Can Be Used To Predict Policy Changes
Artificial IntelligenceContributorsData NativesMachine Learning

A clever algorithm that has digested seven decades’ worth of articles in China’s state-run media is now ready to predict its future policies. The research design of this “crystal ball” can also be applied to tackling a variety of other problems. Supervised learning — the most developed form of Machine

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