SVM: Andrew Ng Coursera Notes

[mbhushan]

Logistic regression vs SVMs

Multiclass classification:

Other choices of kernel:

Kernel Similarity function:

SVM software package:

SVM parameters:

SVM with kernels - part 2:

SVM with Kernels:

Choosing the landmarks:

Predictions:

Kernel, Similarity and Example:

Kernels and Similarity:

Kernel in SVM:

Non Linear Decision Boundary:

SVM decision boundary: part2:

SVM decision boundary:

Vector Inner Product:

Large margin classifier in presence of outliers:

Large margin classifier:

SVM decision boundary:

Support vector machine:

SVM hypothesis:

Support vector machines:

Alternative view of logistic regression part 1:

Alternative view of logistic regression part 1: