I am a fairly decent programmer by now, but I would like to explore AI more deeply.
I do have basics of statistic, I know about mean mean square error, linear regression, regression tree, k-mean etc...
I would like to get into deep learning but actually I don't know what direction I should take.
I would like to do like I did with programming, exploring simple problem first and then moving into more sophisticated stuff.
However I feel like that the problem of the field are pretty expensive to work on either from a monetary point of view (GPU) and from a duration point of view.
Anybody has took this same path before? What would you suggest? What problem did you learn the most from?