[pymvpa] Introduction to Machine Learning and SVMs

[Yaroslav Halchenko]

IIRC the best video describing SVMs (with math though) is
http://videolectures.net/mlss06tw_lin_svm/
from
Support Vector Machines
author:Chih-Jen Lin, National Taiwan University 

who is an author of libsvm

as for "less math" -- need to think about it... and it would depend on what
aspects of SVM you want them to accent in comparison to other methods

On Mon, 16 May 2011, Thorsten Kranz wrote:

> Hi all,

> I have a question, maybe you have a quick reply (to a non-trivial
> question though...).

> Here in my lab, some colleagues without too much knowledge in
> mathematics would like to learn (and understand) some basics of
> machine learning and SVMs in particular, so we'll have a little
> methods-seminar soon. I will try to explain it to them, but it would
> be nice if I could send them some kind of tutorial-paper or
> book-chapter they could read before that.

> Do you have any proposal for that? I know of the Hastie et al. book
> online, but maybe "less mathematics" would fit better to (some) of my
> colleagues.

> Thanks in advance, greetings,

> Thorsten

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