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Dr. David Zeng is an assistant professor of Information Systems at Dakota State University. He teaches graduate courses in the Master of Science in Data Science Program jointly offered by DSU and SDSU. The courses he teaches include Predictive Analytics for Decision Making, Programming for Data Analytics (Python), Deep Learning, and BI & Visualization. His research focuses on Economics of IT-enabled services, application of Deep Learning (transfer learning) in healthcare, and generative neural networks in contests and games. His papers have been published in top peer-reviewed journals and awarded as best papers in conferences. David received his PhD in Information Systems from University of California, Irvine. He got his MS in Computer Science from California State University, Long Beach.

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