SVM: Support Vector Machine

Intro

1. can represent non-linear functions
2. efficient
3. SVM got to mainstream because of its exceptional performance in Handwritten Digit Recognition
4. Find the maximum margin (best hyperplane) to get the best decision boundary

*How to choose the BEST decision boundary

*Optimization

*Non-linearly Separable Problems (2D)

*Non-linear SVM