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| training:ds:2023:introtoml [2023/08/17 07:00] – Abdelghafour Halimi | training:ds:2023:introtoml [2023/10/01 15:07] (current) – Abdelghafour Halimi | ||
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| - | ====== | + | ====== |
| <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 | ||
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| <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 | ||
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| ===== 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 ===== | ||
| ^Time ^Topic | ^Time ^Topic | ||
| - | ^1:00pm - 1:10pm | + | ^9:00am - 9:10am |
| - | ^1:10pm - 1:30pm | + | ^9:10am - 10:15am |
| - | ^1:30pm - 1:45pm | + | ^10:15am - 10:30am |
| - | ^1:45pm - 2: | + | ^10:30am - 12pm |
| - | ^2:30pm - 2: | + | |
| - | ^2:45pm - 3: | + | |
| - | ^3: | + | |
| </ | </ | ||