I applied to a statistics MS program and an applied mathematics

>>8582127

>engineering

Neither. You should have applied to a CS ML program. People whine and moan that ML is just applied statistics and that CS is easier than applied mathematics, but the truth of the matter is that you need some real exposure to these areas if you're going to work in it. No sane employer is going to say, 'wow, you sure can prove a lot of theorems!111 guess you'll just learn how to do everything else on my dime :^).'

>Only doing one program at a time
Fucking brainlets.

>>8582129
everyone I know in ML did statistics in grad school
>doing a CS masters

>>8582127
When I was researching Statistics programs to apply to, the general consensus seemed to be that MS programs weren't very good.

Regardless, you'll probably learn more about Machine Learning in the statistics program.

The program you get your degree from matters less than the lab you work with and the experience you get from it.

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>tfw feel like shit about my grad skewl prospects

>>8582129
>You need to take graduate level Java GUI design or no one will hire you
>:^)

>>8582127

What was your undergrad degree in?

>applied mathematics MS program

At second rate schools, these programs tend to be a joke. Some of them use baby Rudin for their "graduate" analysis course and others don't even require graduate Analysis/Algebra.

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Anyone who says machine learning is statistics does not know what they are talking about. The "learning" in machine learning refers to gradient-based mathematical optimization. Study applied math and brush up on your numerical methods.

>>8582169
OP here

I had like a 2.9 in college and still got in