Episode 12: Jon Kastelan on How Machine Learning Is Building More Sustainable Cities
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Jon Kastelan is a Machine Learning Specialist, advising governments and city agencies on analytics and machine learning across North America and Asia Pacific.
Previously, Jon has worked with PwC's Analytics and Urbanisation practice to support the development of the Smart City blueprint for Hong Kong. He has also taught data science and analytics at New York University and worked with urban-focused startups.
City governments are increasingly using Machine Learning (ML) methods to help serve their citizens better. Jon led a workshop for World Bank staff to further understanding of the nuts-and-bolts of ML in a smart city context. From key ML concepts such as training and test data, identifying important features for prediction, to model evaluation metrics. Jon’s ability to simplify the complex and make ML more accessible to smart city practitioners is quite rare, we can’t wait to learn more.
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