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When it comes to the fields of Machine Learning, Intelligent Systems, Robotics, which program would you consider to be the better of the two for someone that would consider going into industry or pursuing PhD after MS?

 

Some links:

 

UCSD Intelligent Systems, Robotics, Control Requirements

https://www.ece.ucsd.edu/sites/ece.ucsd.edu/files/ece/assets/M.S.%26%20Ph.D.%20Degree%20Planners%20-%20ISRC%2013-14.pdf

 

Columbia Machine Learning Overview

http://www.cs.columbia.edu/research/areas#learning

 

How might these two programs differ in content and future opportunities?

 

Thank you!

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