Support Vector machine for student undergraduted level

Slides for SVM presentation undergraduate

1. SVM Support Vector Machine

2. Content Classification Idea What’s SVM How to reach the best margin Kernel trick Pros and Cons Demonstration

3. SVM Idea Find a hyperplane that can separate two classes without bias on any class. Hyperplane 1D -> dot 2D -> line 3D -> plane >4D -> hyperplane

4. Support vector machine Support vector machine or SVM can leverage the idea and find the optimal hyperplane to categorize data into its own class. Term Hyperplane Margin (soft/hard) Kernel Boundary Support vectors