I picked up a copy of Probability and Statistics for Computer Scientists - Michael Baron on sale with another statistics book (I honestly bought it because of the name - I wanted a book that would take some kind of look at statistics from a computer science perspective, even if it wasn't perfect). I haven't had a chance to read it or work any problems in it yet, but it seems like a solid book.

The preface of the book says that it's for upper level undergraduate students and beginning graduate students, and I would agree with this. Some understanding of probability and statistics are necessary to grasp the contents of this book.

Topics include probability, discrete random variables, continuous distributions, Monte Carlo methods, stochastic processes, queuing systems, statistical inference, and regression.