The following table lists all the resources for R and machine learning:
R introduction | |||
---|---|---|---|
Title |
Link |
Author | |
R in Action |
http://www.amazon.com/R-Action-Robert-Kabacoff/dp/1935182390 |
Robert Kabacoff | |
The Art of R Programming: A Tour of Statistical Software Design |
http://www.amazon.com/The-Art-Programming-Statistical-Software/dp/1593273843 |
Norman Matloff | |
An Introduction to R |
W. N. Venables, D. M. Smith, and the R Core Team | ||
Quick-R |
Robert I. Kabacoff, PhD | ||
Online courses | |||
Title |
Link |
Instructor | |
Computing for Data Analysis (with R) |
Roger D. Peng, Johns Hopkins University | ||
Data Analysis |
Jeff Leek, Johns Hopkins University | ||
Data Analysis and Statistical Inference |
Mine Çetinkaya-Rundel, Duke University | ||
Machine learning | |||
Title |
Link |
Author | |
Machine Learning for Hackers |
Drew Conway and John Myles White | ||
Machine Learning with R |
Brett Lantz | ||
Online blog | |||
Title |
Link | ||
R-bloggers | |||
The R Journal | |||
CRAN task view | |||
Title |
Link | ||
CRAN Task View: Machine Learning and Statistical Learning |