Proceedings of NeurIPS 2018 Workshop on Machine Learning for the Developing World: Achieving Sustainable Impact

TL;DR

This workshop proceedings discusses how machine learning can be applied to address challenges in developing countries, emphasizing sustainable impact and practical solutions.

Contribution

It compiles recent research and discussions on deploying machine learning techniques for sustainable development in the developing world.

Findings

Identifies key challenges in applying ML in developing countries

Highlights successful case studies of ML for social impact

Provides recommendations for future research directions

Abstract

This is the Proceedings of NeurIPS 2018 Workshop on Machine Learning for the Developing World: Achieving Sustainable Impact, held in Montreal, Canada on December 8, 2018