1. SVM hypothsis
2. large margin classification
3. kernals and similarity
if
f1 = 1;
if x if far from l^(1), f1 = 0
4. SVM with kernels
5. SVM parameters
6. Multi-class classification
7. Logistic regression vs SVMs
