Let's say there are students from four backgrounds (Mathematics, Applied Mathematics, Computer Science and Statistics) all from top programs. They are applying to a machine learning PhD program at a top American university.
- In terms of getting in, which background is most favorable?
- What can the pure math student do to improve their chances of getting in?
- Would a double degree in any combination of the above fields be more favorable?