[amrrs]

Statistics and Probability - For non-math background, Openintro.org with R and Sas lab is a good one. Khan academy videos on the same again makes a lot of concepts easier.

http://www.r-bloggers.com/in-depth-introduction-to-machine-l... Introduction to Statistical Learning http://www-bcf.usc.edu/~gareth/ISL/ (Rob S and by Trevor H, Free I guess) for more in depth, Elements of Statistical Learning by the same.

Linear Algebra (Andrew Ng's this part in Introduction to Machine Learning is a short and crisp one)

If you're not scared by Derivatives, you can check them. But you can easily survive and even excel as a data scientist or ML practitioner with these.