Teaching Predictive Modeling (Advanced)
Tuesday, Apr. 6
2:00 - 3:00 p.m. ET
In this webinar we show how to teach advanced tools and techniques commonly used by academics in business schools and analytics programs, including advanced tree methods, neural networks, support vector machines, and extreme gradient boosting. We show model validation, model comparison, and model selection (or averaging) and deployment.
- Who should attend?
This webinar is geared toward teaching faculty, researchers, and students. Practitioners are also welcome to attend.
- What can I expect to get out of the webinar?
You will learn how to effectively teach advanced predictive modeling.
- How much JMP experience should I have?
No prior experience in JMP is necessary, but we recommend watching the three short Getting Started for Academics webinars on demand if you would like to get more familiar with JMP software.
Register now for this free, one-hour, interactive webinar.
Date: Tuesday, Apr. 6
Time: 2 PM ET (11 AM PT)