For my CS senior project next semester I'm going to be analyzing 4-dimensional (3 in space, 1 in time) fMRI data using machine learning. Ultimately, the goal is to be able to tell whether or not someone has ADHA given their fMRI data.
I just scored this gig a week ago and I'm very new to ML (I'm just finishing Stanford's free online course). I thought I'd ask if anyone out there has any good ideas of how to go about it or where I should think about starting. My professor told me to "throw an SVM at it."
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