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Tuesday, June 5 • 10:00am - 10:30am
Deep Learning on Pricing Dynamics of the Municipal Market Using Tensorflow

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In this talk, I will share part of my research work on exploring and characterizing the pricing dynamics and risk characteristics of municipal market. One of the research objectives is to provide the community with a cost-effective analytics framework, which helps public easily gain insights on the underlying economic drivers of municipal market, by taking advantages of the cutting-edge analytics techniques and the tremendous community resources.

A brief description will be on the model settings combining Tensowflow and Keras. More attention will be on usefulness assessment of a few neural networks, how to improve their predicting power and what potential insights the models can provide for understanding the complicated economic drivers of the municipal market. Additionally, I will discuss the limitations of current models and the obstacles in expanding and applying the analytics frame for better public financing.

avatar for Shuxia Zhang, PhD, MBA

Shuxia Zhang, PhD, MBA

Community Faculty, Metropolitan State University

Tuesday June 5, 2018 10:00am - 10:30am
P1838 Normandale Partnership Center, 9700 France Ave So, Bloomington, MN 55431