Place: DHØ 1.23 Time: 8:15 (we start 15 min later) - 13:20
Time | Activity | Data | |
---|---|---|---|
Session 1 | 8:15-9:00 | Intro , Q&A, Introducing dataset | Danish power elites |
Session 2 | 9:00-11:30 | Network exploration | Danish power elites |
Session 3 | 12:00-13:15 | WS: AI as a service |
By guest: Andreas Markussen
The purpose is to demonstrate a minimum viable product of an ML model deployment. Keeping with the DSBA spirit, I would keep the section hands-on. I would cover a minimal ML pipeline using data that is already preprocessed. The model will be saved to a static file and served through an API. When done, we will have created a web service from scratch, that can be used by any user in their browser. The project will be conducted in Python, with a little HTML added.
To get most of this workshop, you should have: