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training:ds:2023:introtoml [2023/08/17 06:47] – Abdelghafour Halimitraining:ds:2023:introtoml [2023/10/01 15:07] (current) – Abdelghafour Halimi
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-====== Artificial Intelligence Workshop Series ~ Introduction to Machine Learning ======+====== Hands-on AI Tools and Techniques Workshop Series ~ Introduction to Machine Learning ======
  
 <WRAP group> <WRAP quarter column> <WRAP center round box 110%> {{:icon:twbs:link:w-25:h-auto:calendar3.svg?nolink&}} <tab1> <fs:26px>** Date**</fs> <WRAP group> <WRAP quarter column> <WRAP center round box 110%> {{:icon:twbs:link:w-25:h-auto:calendar3.svg?nolink&}} <tab1> <fs:26px>** Date**</fs>
  
-  * Sunday October 1, 2023+  * Tuesday October 3, 2023
   * 9am - 12pm   * 9am - 12pm
  
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 <WRAP quarter column> <WRAP center round box 110%> {{:icon:twbs:link:w-25:h-auto:map.svg?nolink&}} <tab1> <fs:26px>** Venue**</fs> <WRAP quarter column> <WRAP center round box 110%> {{:icon:twbs:link:w-25:h-auto:map.svg?nolink&}} <tab1> <fs:26px>** Venue**</fs>
  
-  * Building 3, Level 5, Room 5220+  * Level 0 Auditorium, BW B2 and B3
  
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 <WRAP center round box 110%> {{:icon:twbs:link:w-25:h-auto:globe.svg?nolink&}} <tab1> <fs:26px>** Organizer**</fs> <WRAP center round box 110%> {{:icon:twbs:link:w-25:h-auto:globe.svg?nolink&}} <tab1> <fs:26px>** Organizer**</fs>
  
-{{:icon:twbs:link:w-25:h-auto:person.svg?nolink&}} Abdelghafour HALIMI\\ {{:icon:twbs:link:w-25:h-auto:headset-vr.svg?nolink&}} Visualization Core Laboratory \\ {{:icon:twbs:link:w-25:h-auto:envelope-at.svg?nolink&}} james.kress@kaust.edu.sa </WRAP> </WRAP>+{{:icon:twbs:link:w-25:h-auto:person.svg?nolink&}} Abdelghafour HALIMI\\ {{:icon:twbs:link:w-25:h-auto:headset-vr.svg?nolink&}} Visualization Core Laboratory \\ {{:icon:twbs:link:w-25:h-auto:envelope-at.svg?nolink&}} abdelghafour.halimi@kaust.edu.sa </WRAP> </WRAP>
  
 <WRAP quarter column> <WRAP center round box 100%>{{:icon:twbs:link:w-25:h-auto:person-add.svg?nolink&}} <tab1>  <fs:26px>** Register**</fs> <WRAP quarter column> <WRAP center round box 100%>{{:icon:twbs:link:w-25:h-auto:person-add.svg?nolink&}} <tab1>  <fs:26px>** Register**</fs>
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  <fs:26px>** Workshop Materials**</fs>  <fs:26px>** Workshop Materials**</fs>
  
-  * Slides: +  * Github link: [[https://github.com/A-Halimi/Introduction-to-AI-workshop-series|GitHub Repository]] 
-  * Datasets:+
  
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- <fs:26px>** How to Prepare?**</fs>+ <fs:26px>** Pre-requisites**</fs>
  
-  * Review and download the workshop materials +  * Have KAUST IT credentials (i.e. the one you use to access your KAUST email) 
-  * Bring a laptop with VisIt installed +  * A computer (Linux/Windows/Mac) with internet connection & terminal 
-      * 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|https://visit-dav.github.io/visit-website/releases-as-tables/#latest]]. +  * Essential knowledge of Python is necessary (Pandas, Numpy libraries…) 
-  * Alternatively, you can use the IT provided [[http://myws.kaust.edu.sa/|remote workstations]] in case you do not have VisIt installed (you have to request the service the first time you use it [[https://kaustforms.formstack.com/forms/remote_workstation_account|here]])+  * Have some experience with working with Conda package manager
  
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 ===== Overview ===== ===== Overview =====
  
-Visualization experts from the laboratory will introduce [[https://visit-dav.github.io/visit-website/|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.+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. 
  
-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.+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. 
  
-Join us to learn how to prepare data, automate visualizations, and scale your analysis from workstation to cluster to supercomputer.+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? ===== ===== 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.+  * 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 ===== ===== Agenda =====
  
 ^Time  ^Topic  ^Speaker  | ^Time  ^Topic  ^Speaker  |
-^1:00pm - 1:10pm  |Welcome  |James Kress  | +^9:00am - 9:10am  |Welcome  |Abdelghafour Halimi  | 
-^1:10pm - 1:30pm  |Introduction to Scientific Visualization and the VisIt GUI  |James Kress  | +^9:10am - 10:15am  |Introduction to Machine Learning  |Abdelghafour Halimi  | 
-^1:30pm - 1:45pm  |Coffee Break – Download VisIt & data files  |   | +^10:15am - 10:30am  |Coffee Break |   | 
-^1:45pm - 2:30pm  |Hands-On Session 1: basic plots / volume rendering  |James Kress  | +^10:30am - 12pm  |Hands-On Session: Jupyter Notebooks Examples / Q&A |Abdelghafour Halimi  |
-^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  |+
  
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