Dick De Veaux, PhD, is a professor in the Department of Mathematics and Statistics at Williams College in Williamstown, MA. In this discussion, De Veaux explores data mining methodology and its application to problems in science and industry.
On the table for discussion:
- Identifying appropriate problems for predictive analytics.
- Exploring and preparing data for analysis.
- Using a variety of techniques to build accurate predictive models.
- Evaluating the quality of data mining models.
This webcast is appropriate for anyone interested in using interactive and visual data mining techniques to challenge assumptions, spot patterns and reveal potential solutions to problems that otherwise weren’t visible.
Expertise: data visualization, statistics, predictive modeling