Differences
This shows you the differences between two versions of the page.
Both sides previous revisionPrevious revisionNext revision | Previous revision | ||
training:ds:2023:introtoml [2023/08/17 07:09] – Abdelghafour Halimi | training:ds:2023:introtoml [2023/10/01 15:07] (current) – Abdelghafour Halimi | ||
---|---|---|---|
Line 1: | Line 1: | ||
- | ====== | + | ====== |
<WRAP group> <WRAP quarter column> <WRAP center round box 110%> {{: | <WRAP group> <WRAP quarter column> <WRAP center round box 110%> {{: | ||
- | * Sunday | + | * Tuesday |
* 9am - 12pm | * 9am - 12pm | ||
Line 11: | Line 11: | ||
<WRAP quarter column> <WRAP center round box 110%> {{: | <WRAP quarter column> <WRAP center round box 110%> {{: | ||
- | * Building 3, Level 5, Room 5220 | + | * Level 0 Auditorium, BW B2 and B3 |
<wrap indent></ | <wrap indent></ | ||
Line 38: | Line 38: | ||
< | < | ||
- | * Slides: | + | * Github link: [[https:// |
- | * Datasets: | + | |
</ | </ | ||
Line 47: | Line 46: | ||
* Have KAUST IT credentials (i.e. the one you use to access your KAUST email) | * Have KAUST IT credentials (i.e. the one you use to access your KAUST email) | ||
- | * A computer (Linux/ | + | * A computer (Linux/ |
- | * Bring your laptop and have your terminal | + | |
* Essential knowledge of Python is necessary (Pandas, Numpy libraries…) | * Essential knowledge of Python is necessary (Pandas, Numpy libraries…) | ||
* Have some experience with working with Conda package manager | * Have some experience with working with Conda package manager | ||
Line 60: | Line 58: | ||
===== Overview ===== | ===== 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. | + | 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? ===== | ===== Who Should Attend? ===== | ||
* Anyone with zero experience (or beginner/ | * Anyone with zero experience (or beginner/ | ||
+ | |||
* You are a programmer that wants to extend their skills into Data Science and Machine Learning to make yourself more valuable | * 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 | * 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. | * You want to add value to your own business or company you work for, by using powerful Machine Learning tools. | ||
+ | \\ | ||
===== Agenda ===== | ===== Agenda ===== | ||
Line 76: | Line 84: | ||
^9:10am - 10: | ^9:10am - 10: | ||
^10:15am - 10: | ^10:15am - 10: | ||
- | ^10:30pm - 12pm |Hands-On Session: Jupyter Notebooks Examples/ Q&A |Abdelghafour Halimi | + | ^10:30am - 12pm |Hands-On Session: Jupyter Notebooks Examples / Q&A |Abdelghafour Halimi |
</ | </ |