Using Machine Learning and Data Analysis for Social Issues with Peter York

Peter York is a Partner at BCT Partners and leads the Data Analytics Team. He uses machine learning, statistical programming, and predictive/prescriptive analytics to create models to evaluate and improve the effectiveness of social programs for clients in the government, non-profit and corporate sectors. He has a book on the topic of evaluation for philanthropists – “Funder's Guide to Evaluation: Leveraging Evaluation to Improve Nonprofit Effectiveness”. In this episode of the Roboticist, Peter York talks about when and how to use machine learning and data science to make better decisions regarding social problems.