lördag 21 juli 2018

Can State-of-the-Art Machine Learning Tools Give New Life to Household Survey Data?

Machine Learning and the Future of Poverty Prediction

  • Poverty measurement relies on collecting detailed household survey data, which is often expensive and time-consuming.
  • Researchers at the World Bank are experimenting with the latest machine learning tools to expand the use and value of these datasets.
  • Data scientists need to commit to openness around data, software, and methods to make machine learning an effective tool for tracking poverty.