what is the difference between the major machine learning in the two schools in the Application difficulty?one is the school of cs ,the other is Dietrich College.
https://www.cs.cmu.edu/bs-in-artificial-intelligence/
The plans of study listed on the sites should clearly differentiate them. CS-based vs. Statistics-based.
Admission to SCS is much more difficult. Last time I saw school-specific rates published, 7% vs. 26%.
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thanks you very much！your explaining is very useful for me.I know it is very difficult to apply ml of the scs school.so is it a good choice to apply a&ml?
You can also concentrate in ML for your BS in CS. So it looks like there are three options:
- BS in AI (within SCS)
- BS in CS with ML concentration (also within SCS)
- StatML (Dietrich)
SCS admit rate from Fall 2022 was 3.2%. But CMU allows you to apply to a primary and secondary school choice (though only for RD, IIRC)
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Machine learning is a very broad concept these days. It has many and growing number of subspecialties. ML at Deitrich is likely to focus on a few of such subspecialties with an emphasis on applications of ML models in data analysis/science.
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thank you for giving me an important information.
It depends very much on what you want to do - a computer scientist working in ML or a statistician working in ML. The term is quite broad and employs people many different skill sets.
I suggest reading through the linked descriptions and plans of study to determine what aligns with your goals.
I would not recommend applying to Dietrich if you want to be a computer scientist, just because it has a higher acceptance rate, no
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so appreciate for your analysis!thanks!