On Mon, Nov 21, 2011 at 2:08 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
> ;)

Indeed, but you will be pretty angered by matlab syntax at times. For
example, I forgot to end a for block, all hell broke loose.

> 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.

They don't seem to have such a website.
The PGM class is here: http://www.pgm-class.org/
All course websites have the same template, and at the bottom there
are links to every other class.

Vlad

> --
> Lars Buitinck
> Scientific programmer, ILPS
> University of Amsterdam
>
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