The website is in http://www.pgm-class.org/ .
On Mon, Nov 21, 2011 at 8:08 PM, Lars Buitinck <[email protected]> wrote:
> 2011/11/21 Jacob VanderPlas <[email protected]>:
> > I would recommend these: I'm currently taking the Machine Learning
> > course, taught by Andrew Ng, which will be offered again in January.
> > It's been a great intro to things like logistic regression, neural
> > networks, SVM, etc. for someone like me with no formal ML training.
> > I've found 2-3 hours/week sufficient to complete the lectures, quizzes
> > and programming assignments, though someone less familiar with Octave
> > may spend more time on the assignments.
>
> I'm taking the ML course too and I can assure you that some NumPy
> knowledge is enough to get into Octave pretty quickly. I also finally
> understand parts of the NumPy interface design that puzzled me before
> ;)
>
> I understood from my newspaper (!) that Stanford would be offering an
> online course in probabilistic graphical models as well, somewhere
> beginning of 2012. Does anyone know if Stanford has an overview
> website of these courses? My google-fu failed me so far.
>
> --
> Lars Buitinck
> Scientific programmer, ILPS
> University of Amsterdam
>
>
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--
Best Wishes
--------------------------------------------
Meng Xinfan（蒙新泛）
Institute of Computational Linguistics
Department of Computer Science & Technology
School of Electronic Engineering & Computer Science
Peking University
Beijing, 100871
China
------------------------------------------------------------------------------
All the data continuously generated in your IT infrastructure
contains a definitive record of customers, application performance,
security threats, fraudulent activity, and more. Splunk takes this
data and makes sense of it. IT sense. And common sense.
http://p.sf.net/sfu/splunk-novd2d
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