Picture for Chengyu Dai

Chengyu Dai

University of Michigan

A Data Science Approach to Understanding Residential Water Contamination in Flint

Add code
Jul 05, 2017
Figure 1 for A Data Science Approach to Understanding Residential Water Contamination in Flint
Figure 2 for A Data Science Approach to Understanding Residential Water Contamination in Flint
Figure 3 for A Data Science Approach to Understanding Residential Water Contamination in Flint
Figure 4 for A Data Science Approach to Understanding Residential Water Contamination in Flint
Viaarxiv icon

Flint Water Crisis: Data-Driven Risk Assessment Via Residential Water Testing

Add code
Sep 30, 2016
Figure 1 for Flint Water Crisis: Data-Driven Risk Assessment Via Residential Water Testing
Figure 2 for Flint Water Crisis: Data-Driven Risk Assessment Via Residential Water Testing
Figure 3 for Flint Water Crisis: Data-Driven Risk Assessment Via Residential Water Testing
Figure 4 for Flint Water Crisis: Data-Driven Risk Assessment Via Residential Water Testing
Viaarxiv icon

Data Science in Service of Performing Arts: Applying Machine Learning to Predicting Audience Preferences

Add code
Sep 30, 2016
Figure 1 for Data Science in Service of Performing Arts: Applying Machine Learning to Predicting Audience Preferences
Figure 2 for Data Science in Service of Performing Arts: Applying Machine Learning to Predicting Audience Preferences
Figure 3 for Data Science in Service of Performing Arts: Applying Machine Learning to Predicting Audience Preferences
Figure 4 for Data Science in Service of Performing Arts: Applying Machine Learning to Predicting Audience Preferences
Viaarxiv icon