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Nature Podcast

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How Machine Learning Can Be Used in Global Poverty and Inequality

Sid o research edets really at the intersection of development economics and computer science. The togalese government had come up with a plan to target financial aid to people based on their occupation. They fed satellite data into a machine learning algarism to identify villages whose populations were most likely in need of help. But this approach was too broad, so they turned to mobile phone data. And it turns out that these agarithms are relatively accurate.

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