"How are smart cities solving everyday urban problems with machine learning algorithms and big data?"

City governments are increasingly using Machine Learning (ML) methods to help serve their citizens better. This workshop provides World Bank staff with an understanding of the nuts-and-bolts of ML in a smart city context.

Focused on a simple, but powerful family of models – supervised classification – this workshop will walk through the key steps to build and deploy a predictive tool for city authorities. It will further familiarize participants with key ML concepts including training and test data, identifying important features for prediction, and model evaluation metrics.

After surveying recent applied examples, from prioritizing building inspections to targeting energy efficiency upgrades, participants will be invited to brainstorm potential applications in a city of their choice.