[R] PhD student reading list, suggestions wanted

[Liaw, Andy]

> From: Ko-Kang Kevin Wang
> 
> Hi,
> 
> > -----Original Message-----
> > But above all, I would like her to use R whenever it's appropriate.
> > We have MASS and Dalgaard's introductory book in the 
> library here, I'm
> > aware of "S Poetry", but what do you think would be the 
> best start for
> > someone learning R in order to use it for doing data mining?
> 
> Not specifically for R, but a must-have for anyone going into 
> data mining
> area is "The Elements of Statistical Learning: Data Mining, 
> Inference, and Prediction", by Hastie et. al.

I would add BDR's 1996 Pattern Recognition and Neural Networks, and FEH's
2002 Regression Modeling Strategies.

Even though Prof. Harrell's book is not strictly about data mining, it has
lots of things that dataminers need to know about, or at least be aware of,
IMHO.

Andy

 
> Kevin
> 
> --------------------------------------------
> Ko-Kang Kevin Wang, MSc(Hon)
> SLC Stats Workshops Co-ordinator
> The University of Auckland
> New Zealand
> 
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://www.stat.math.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide! 
> http://www.R-project.org/posting-guide.html
> 
> 


------------------------------------------------------------------------------
Notice:  This e-mail message, together with any attachments,...{{dropped}}