| Event Date |
03 Jul 2019 (Wed), 01:30 PM - 04:30 PM |
| Venue |
LHN-LT, The Arc Learning Hub North, Basement 1
(Location Map)
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| Organiser |
NTU Library (Email : dst@ntu.edu.sg ) |
Event Info
Outline
- Introduce linear and non-linear SVM classifications concepts (soft margin, polynomial kernel, adding similarity features, Gaussian radial based function)
- Introduce SVM regression analysis
- SVM analyses with personalized news texts and Scikit-learn load_digits dataset
Requirements
- Basic knowledge of Python Programming
- Participants who are joining this series for the first-time should refer to this document
- Participants will need to bring their own laptops
Mode of Training
Classroom
Workshop Format
Lecture - 1 hr | Hands-on tutorial - 1.25 hr | Q & A – 0.5 hr
Trainer
Alvin Chew is currently a Microsoft Cloud Research Software Fellow and a final-year PhD candidate in School of Civil and Environmental Engineering, Nanyang Technological University.
Registration for this event has closed.
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