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Artificial Intelligence Workshop Series ~ Introduction to Machine Learning
Date
- Sunday October 1, 2023
- 9am - 12pm
Venue
- Building 3, Level 5, Room 5220
Organizer
Abdelghafour HALIMI
Visualization Core Laboratory
abdelghafour.halimi@kaust.edu.sa
Register
Workshop Materials
- Slides:
- Datasets:
How to Prepare?
- Review and download the workshop materials
- Bring a laptop with VisIt installed
- VisIt version 3.3.0 or newer is required for the workshop. You can download it from https://visit-dav.github.io/visit-website/releases-as-tables/#latest.
- Alternatively, you can use the IT provided remote workstations in case you do not have VisIt installed (you have to request the service the first time you use it here)
Overview
This workshop serves as an introduction to the exciting world of machine learning, a subfield of artificial intelligence (AI). Participants will gain a foundational understanding of the core concepts, techniques, and applications of machine learning. Leveraging the state-of-the-art facilities of the KAUST Visualization Core Lab, attendees will have an immersive experience, combining theoretical lessons with practical exercises. This workshop is ideal for those looking to embark on a journey into AI and machine learning, as well as for professionals seeking to enhance their knowledge in this rapidly-evolving domain.
Who Should Attend?
The target audience for this workshop are KAUST users who are looking for a new scientific visualization solution and have little or no experience with VisIt or scientific visualization in general.
Agenda
| Time | Topic | Speaker |
|---|---|---|
| 1:00pm - 1:10pm | Welcome | James Kress |
| 1:10pm - 1:30pm | Introduction to Scientific Visualization and the VisIt GUI | James Kress |
| 1:30pm - 1:45pm | Coffee Break – Download VisIt & data files | |
| 1:45pm - 2:30pm | Hands-On Session 1: basic plots / volume rendering | James Kress |
| 2:30pm - 2:45pm | Coffee Break | |
| 2:45pm - 3:30pm | Hands-On Session 2: screenshots / movies animations / & more | James Kress |
| 3:30pm | Q&A | James Kress |