CS vs IEOR vs Stats for Machine Learning?

[DMX]

I posted a similar thread on the Engineering forums, but I thought I might post here as well to get a different perspective.

 

My interest is in machine learning.

 

For some schools, this (mainly) falls under IEOR (e.g. Princeton).

For some schools, this (mainly) falls under CS (e.g. NYU, CMU).

And at other schools, this (mainly) falls under Stats (e.g. Stanford).

 

I have no real preference for which department, as long as I can work with faculty doing ML.

 

But I was interested in people's opinions as to which departments were (generally) more competitive?

 

From my perusal of the forums/departments it seems like the competitiveness of admission (in order of decreasing competitiveness) is:

 

CS (it seems like you can't even think about admission to the top 5 without publications)

IEOR

Stats.

 

Anyone care to chime in?

 

 

[compiler_guy]

Machine Learning is a very large area, with lots of sub-fields. So perhaps you might want to focus your question on the particular sub-fields that interest you, and then find the relevant professors.