Andrew Ng's class vs Tom Mitchell's class

I am a sophomore in CS and have taken Thrun's Intro to AI. I have good basics in linear algebra, probability and some basic stats. I want to take a ML class to learn about Machine Learning techniques to a point where it is intuitive and I can actually apply the techniques if I choose to work in a ML lab.

The most popular class seems to be Andrew Ng's ML class. I also came across CMU's Tom Mitchell's ML class. I'd like your opinion on which class would give me an intuitive understanding of the techniques in ML and prepare me to start off with research in ML. There are many labs doing AI and ML at the school I go to.

Here's the link to Tom Mitchell's class videos and assignments: https://www.cs.cmu.edu/~tom/10701_sp11/lectures.shtml