[pymvpa] Introduction to Machine Learning and SVMs

Brian Murphy brian.murphy at unitn.it
Mon May 16 21:22:41 UTC 2011


I really liked this primer from Nature Biotechnology, which I think gets 
the point across intuitively in only 3 pages:
    William S Noble
    What is a support vector machine?
    Nature Biotechnology 24, 1565 - 1567 (2006)



> Message: 2
> Date: Mon, 16 May 2011 18:05:25 +0200
> From: Thorsten Kranz <thorstenkranz at googlemail.com>
> Subject: [pymvpa] Introduction to Machine Learning and SVMs
> To: Development and support of PyMVPA
>         <pkg-exppsy-pymvpa at lists.alioth.debian.org>
> Message-ID: <BANLkTimto1YNZPwGcqchv2vHtcgUyNLFJQ at mail.gmail.com>
> Content-Type: text/plain; charset=UTF-8
> 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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