DMML classics

Just to remind readers that the following textbooks on data mining and machine learning are classics and freely available. After downloading them to your ebook reader, they should be readable without soon tiring the eyes …

Hastie, T., Tibshirani, R., & Friedman, J. (2013). The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (2nd ed. 2009. Corr. 10th printing 2013 edition). New York, NY, USA: Springer. [Public Domain, http://statweb.stanford.edu/~tibs/ElemStatLearn/printings/ESLII_print10.pdf]
Note: This is a classic!

James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An Introduction to Statistical Learning: with Applications in R (1st ed. 2013. Corr. 4th printing 2014). New York: Springer. [Public Domain, http://www-bcf.usc.edu/~gareth/ISL/ISLR%20First%20 Printing.pdf]
Note: This is sort an easier to read version of the classiv above!