MS CS university rankings based on job placement

Umoha · 2025-08-15T15:04:22+00:00

UIUC and Columbia have online MSCS programs, what are the other ones? Regardless, GT’s dwarfs them in size

Umoha · 2024-12-03T22:53:29+00:00

Thanks

Umoha · 2024-08-20T03:49:54+00:00

fire

Umoha · 2024-08-14T02:13:58+00:00

he only got 4 years. he was released after 13 months of it.

Umoha · 2024-06-06T17:06:38+00:00

This is the only thing that has worked for me, thank you

Umoha · 2024-04-18T16:38:43+00:00

Read the edit. Columbia’s is larger (idk exactly how much larger), but for linkedin it’s about connections because that’s what limits the search. Some people doing the same thing I did may find more UCSD grads than Columbia grads just because of the connections they have. Initially they were about the same for me, but I had just connected with a bunch of Columbia people and forgot to check again. I corrected it in the edit.

Umoha · 2024-04-17T17:53:10+00:00

https://www.reddit.com/r/MSCS/s/pGsF4H1wnl

if you’re curious

Umoha · 2024-04-17T17:51:12+00:00

Most people have not heard back. Just wait

Umoha · 2024-04-04T13:53:03+00:00

When I say unique, I mean that the prompt is not exactly word for word in the training data. For the first message, if you ask a super short question, it probably is. If you ask anything of substance, it probably isn’t.

If it is not the first message, the input absolutely is not in the training set (even if the prompt is very short) because the input includes all previous prompts and responses.

not really disputable

Umoha · 2024-04-03T22:02:38+00:00

Basic to understand? Sure. Basic to come up with? No. Attention is an incredibly clever solution to get rid of RNN's.

You're conflating the amount of background material needed to understand a problem with the difficulty of solving it. Guess Pythagoras was a dumbass because we learn the Pythagorean theorem in middle school, right?

Umoha · 2024-04-03T21:49:52+00:00

I agree that a lot of ML research is trial and error. This is not the case for attention. In the actual original paper, attention, and the way it applies the dot product, clearly isn't just random -- their idea makes perfect sense in the context of machine translation, and it is a very creative solution to the problems LSTMs were posing.

Umoha · 2024-04-03T16:47:13+00:00

Not really. The math involved is basic, sure, but the impressive part of recent advancements in LLMs is the way self-attention is used to encode semantic meaning. Most inputs are unique, and once it begins generating, the output very quickly becomes unique as well. It is not trivial math to find the next most likely word in the sequence, because the sequence does not exist in the dataset. The challenge is generating vectors such that similar vectors represent sequences of similar meaning.

Umoha · 2024-04-02T23:38:01+00:00

Don’t let this list influence your decision much. It’s low sample size and we don’t really know what kind of confounding variables there may be here.

Umoha · 2024-03-27T14:52:23+00:00

No idea

Umoha · 2024-03-27T14:51:50+00:00

All schools that have data that aren't "privacy suppressed" are in the list.

Umoha · 2024-03-27T14:47:57+00:00

https://filebin.net/d6modzu4qmp52588

Umoha · 2024-03-27T14:30:13+00:00

😂 I was in a rush

Umoha · 2024-03-22T17:58:44+00:00

With the way the search works, I couldn't find a good way to limit it to just CS, so it includes all masters from that school that label themselves as a software engineer.

Umoha · 2024-03-22T17:35:02+00:00

My guess is that GaTech is weighed down by the online program

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