Machine learning for disaster risk management: Using data to protect people across the globe
This guidance note explores how new approaches in machine learning can provide new ways of looking into these complex relationships and provide more acc-urate, efficient, and useful answers. The goal of this document is to provide a concise, demystifying ref-erence that readers, from project managers to data scientists, can use to better understand how machine learning can be applied in disaster risk management projects.