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Artificial Intelligence Workshop Series ~ Introduction to Deep Learning
Date
- Sunday October 8, 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
Visualization experts from the laboratory will introduce VisIt- a highly-scalable, open-source, multi-platform data analysis and visualization application. VisIt users can quickly build visualizations to analyze their data using qualitative and quantitative techniques. The data exploration can be done interactively in 3D. Attendees will participate in a hands-on session working with VisIt to create 3D visualizations of scientific datasets.
VisIt is an essential tool for scientific visualization, especially for large datasets. It is professional-quality, user-friendly software that is packed with advanced functionality. It was developed to analyze extremely large datasets (using distributed memory and parallel computing resources); but, its special super-power is that it grows with the user's data, running great on the laptop, the workstation, the cluster (Ibex), and the supercomputer (Shaheen). Visualization and analytic pipelines created in VisIt at the start of your project will continue to work efficiently even as the amount of data produced continues to grow.
Join us to learn how to prepare data, automate visualizations, and scale your analysis from workstation to cluster to supercomputer.
Who Should Attend?
- Anyone with zero experience (or beginner/junior) who wants to learn Machine Learning, Data Science
- You are a programmer that wants to extend their skills into Data Science and Machine Learning to make yourself more valuable
- Anyone who wants to learn these topics from industry experts that don’t only teach, but have actually worked in the field
- You want to add value to your own business or company you work for, by using powerful Machine Learning tools.
Agenda
Time | Topic | Speaker |
---|---|---|
9:00am - 9:10am | Welcome | Abdelghafour Halimi |
9:10am - 10:15am | Introduction to Deep Learning | Abdelghafour Halimi |
10:15am - 10:30am | Coffee Break | |
10:30am - 12pm | Hands-On Session: Jupyter Notebooks Examples / Q&A | Abdelghafour Halimi |