Comment on SVMs : Beginner's resourcesComments−vomjom16yIf you don't care too much about the theory and just want to get up and running, you should read:http://www.csie.ntu.edu.tw/~cjlin/papers/guide/guide.pdfAnd libsvm is probably the most widely used svm library:http://www.csie.ntu.edu.tw/~cjlin/libsvm/The author of the above paper and library is the same one giving the lecture in the OP's third link.−apurvaOP16yi did try the libsvm implementation in weka.. but it wasn't available for all datasets (my guess being it works only for binary classification), ended up using the SMO algorithm which gave pretty good results too...
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If you don't care too much about the theory and just want to get up and running, you should read:
http://www.csie.ntu.edu.tw/~cjlin/papers/guide/guide.pdf
And libsvm is probably the most widely used svm library:
http://www.csie.ntu.edu.tw/~cjlin/libsvm/
The author of the above paper and library is the same one giving the lecture in the OP's third link.
i did try the libsvm implementation in weka.. but it wasn't available for all datasets (my guess being it works only for binary classification), ended up using the SMO algorithm which gave pretty good results too...