I have been trying to grasp the basics of Support Vector Machines, and downloaded and read many online articles. But still, am not able to grasp it.
I would like to know if there are some
or something, that you can think of, and that will enable me to learn SVM Basics easily.
I somehow managed to learn PCA (Principal Component Analysis). BTW, you guys would have guessed that I am working on Machine Learning.