In plain words: Forty-six interviews with scientists, engineers, and CEOs in East Africa were used to draw up a list of machine learning research problems worth solving. Progress on these problems would directly help tech ventures in the region.

Abstract

Based on 46 in-depth interviews with scientists, engineers, and CEOs, this document presents a list of concrete machine research problems, progress on which would directly benefit tech ventures in East Africa.

Milan Cvitkovic
arXiv:1810.11383 · cs.LG, cs.CY, stat.ML · submitted Oct 25, 2018 · updated Nov 8, 2018
abstract · pdf · html · Presented at NIPS 2018 Workshop on Machine Learning for the Developing World