I'm in a PhD program for statistics right now, but for a variety of reasons I'm not too happy. I really like the CS approach to machine learning/data mining compared to the statistics approach. I also can't stand linear models theory or measure theory. The problem is I don't have much of a CS background. I have an excellent record in undergrad in math and applied math (3.9+ in undergrad math courses) and decent record at my current stats program (3.7+ in grad stat courses).
I've keep hearing from a lot of people that there are a number of CS programs that love to accept non-traditional students (students not from a CS background). I've taken a decent amount of probability at the grad. level, a data mining course (from stats dept), various math courses and a pattern recognition (from CS dept).
Please be blunt, how difficult would it be if I tried switching to CS from stats?
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