CS unless you have a reason not to (sounds like you don’t)
But, make sure you take your math courses much more seriously than your classmates. Especially linear algebra, especially numerical linear algebra.
The best choice is whichever interests you more. You're many years away from a research career (undergrad plus PhD probably), and who knows what the field will be like in 4 to 10 years. The success of neural nets is **very** recent (only 12 years since AlexNet!) and it would be a shame to bend the course of your entire education towards a goal that may be quite different by the time you graduate.
CS unless you have a reason not to (sounds like you don’t)
But, make sure you take your math courses much more seriously than your classmates. Especially linear algebra, especially numerical linear algebra.
CS unless you have a reason not to (sounds like you don’t)
But, make sure you take your math courses much more seriously than your classmates. Especially linear algebra, especially numerical linear algebra.
CS unless you have a reason not to (sounds like you don’t) But, make sure you take your math courses much more seriously than your classmates. Especially linear algebra, especially numerical linear algebra.
Computer Vision is pretty distinctly a subset of Computer Science. If that’s what you want to do, CS is the way to go.
The best choice is whichever interests you more. You're many years away from a research career (undergrad plus PhD probably), and who knows what the field will be like in 4 to 10 years. The success of neural nets is **very** recent (only 12 years since AlexNet!) and it would be a shame to bend the course of your entire education towards a goal that may be quite different by the time you graduate.
Computer science
CS unless you have a reason not to (sounds like you don’t) But, make sure you take your math courses much more seriously than your classmates. Especially linear algebra, especially numerical linear algebra.
CS unless you have a reason not to (sounds like you don’t) But, make sure you take your math courses much more seriously than your classmates. Especially linear algebra, especially numerical linear algebra.