[R] R, Big Data and books

[Angel Rodriguez]

Sorry for that, Glenn.

http://statweb.stanford.edu/~tibs/ElemStatLearn/

Have also a look at this that I've run into:

http://codecondo.com/9-free-books-for-learning-data-mining-data-analysis/

Best regards,

Angel

De: Glenn Doherty [mailto:glennrdoherty at gmail.com] 
Enviado el: miércoles, 10 de septiembre de 2014 18:10
Para: Angel Rodriguez
Asunto: Re: [R] R, Big Data and books

Angel,
Thanks for the references. I am not seeing the name or link to the book that is "free and recommended by John Hopskins' Department of Statistics". Can you please let me know the name of that book. Thanks again for all your help.
Glenn

On Wed, Sep 10, 2014 at 3:37 AM, Angel Rodriguez <angel.rodriguez at matiainstituto.net> wrote:
>From an email list:

"R is well known in the world of Big Data and is increasing in popularity. A number of very useful resources are available for anyone undertaking data mining in R.
For example, Luis Torgo has just published a book called Data Mining with R - learning with case studies (Torgo, Luis. Data Mining with R. ), and presents a set of four case studies with accompanying data sets and code which the interested student can work through. Torgo's book provides the usual analytic and graphical techniques used every day by data miners, including specialized visualization techniques, dealing with missing values, developing prediction models, and methods for evaluating the performance of your models.
Also of interest to the data miner is the Rattle (R Analytical Tool to Learn Easily) GUI. Rattle is a data mining facility for analyzing very large data sets. It provides many useful statistical and graphical data summaries, presents mechanisms for developing a variety of models, and summarizes the performance of your models.
Another web-site worth reading is the following:
http://www.revolutionanalytics.com/"

Also check this book (free and recommended by John Hopskins' Department of Statistics".

Best regards,

Angel Rodriguez-Laso




        [[alternative HTML version deleted]]


______________________________________________
R-help at r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.