Explore how Machine Learning can help human mappers into OpenStreetMap more efficient

Collaborate on how machine learning can help make human mappers into OpenStreetMap more efficient.

Overview document is [here](https://docs.google.com/document/d/1dfdxpeKp5qpVmDhMZ3JoSckqtgU1fqkQwJUKfbiU_ME/edit?usp=sharing)

Mathilde github [here](https://github.com/mathildor)

Development Seed [here](https://github.com/developmentseed/skynet-data)

Start by reading the linked overview document, then inspect Mathilde's GitHub and Development Seed's skynet-data repository for existing context. The issue does not define a specific change or completion condition, so the first step is to establish a concrete, agreed machine-learning direction for improving human mapping efficiency.

Written by the indexing model from the issue text.