Re: [PhillyOnRails] Somewhat OT, Statistics

["Matt Hughes" <hughes.matt@gmail.com>]

There is an interesting class that Stanford and Google are jointly
presenting "STAT 202: Statistical Aspects of Data Mining."  The class
videos are posted here:

http://video.google.com/videosearch?q=statistics+aspects+of+data+mining

And the class page here:

http://stats202.com/

On 7/23/07, Angel Pizarro <angel@mail.med.upenn.edu> wrote:
> On 7/23/07, Toby DiPasquale <toby@cbcg.net> wrote:
> >
> > <sidebar>
> > I have to disagree with Angel, in that I don't believe that Wikipedia is a
> > good source for learning statistics, or math in general. Refer to my
> > previous posting in this area for (slightly) more detail:
> >
> >
> http://blog.cbcg.net/articles/2007/03/11/tobys-first-law-of-wikipedia
> >
> > Basically, Wikipedia has some of the highest-tower shit around. (*)
> > </sidebar>
>
> Fair enough ;) And yes, R is an obtuse language when compared to ruby (or
> python) and learning it takes an investment in time outside of learning
> stats.
>
>  One of the criticisms of the R project is that due to its open source
> nature, there is no central management of what packages should (and should
> not be) used for a particular task.  If you have the money, then matlab or
> mathematica or prism might be a better choice.
>
>   -angel
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