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1867. Teaching Predictive Analytics without Coding
Contributed abstract in session MC-16: Experienced Routes for the Teaching Students' Problem, stream OR Education.
Monday, 12:30-14:00Room: 19 (building: 116)
Authors (first author is the speaker)
| 1. | Volker Kraft
|
| Global Academic Program, JMP Statistical Discovery |
Abstract
Building and understanding powerful Machine Learning algorithms requires statistical thinking supported by accessible and powerful tools. JMP Pro brings advanced predictive modeling into the classroom, without any need for coding.
As teaching examples, automated Model Screening and state-of-the-art Torch Deep Learning will be demonstrated from a student's perspective. We will discuss course use and teaching best practices.
Keywords
- Machine Learning
- OR in Education
- Software
Status: accepted
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