# Feature values range

Suppose I am about to use SVM for learning a classification or ranking function. Suppose that my feature vectors are two dimensional and that values for one dimension are, say, natural numbers and the values for the other dimension are real numbers in $[0,1]$. Can this difference in magnitudes somehow negatively affect learning? Are there some guidelines for scaling feature values? Any references appreciated.