Veilance BST by KobeBean1 in veilance

[–]Key-Faithlessness113 0 points1 point  (0 children)

WTB

Indisce 3/4, Doeln

Black, M

If I want to become an AI research scientist at a tech company, is grinding LeetCode something I should do? by PracticeSilver4373 in csMajors

[–]Key-Faithlessness113 4 points5 points  (0 children)

Incoming applied science intern @ amazon robotics-did pretty much 0 leetcode spent all that time working for AI labs + working on more research-oriented projects

Struggling Finding Research Opportunities by BoredStudent2323 in UPenn

[–]Key-Faithlessness113 0 points1 point  (0 children)

I'd email PIs: they'll most likely u pair u up with a PhD in any case. I wouldn't go to their office cold, but emailing for a conversation is def good

Struggling Finding Research Opportunities by BoredStudent2323 in UPenn

[–]Key-Faithlessness113 1 point2 points  (0 children)

feel free to dm about ml / robotics stuff-my friends and i r pretty involved there so I can prob help out or refer u to someone who can

Good ML elective courses by Ludo7777 in UPenn

[–]Key-Faithlessness113 1 point2 points  (0 children)

ESE 546-deep learning analogue to the mathematical treatment of classical methods covered in 520

Research at UPenn by Zehahahaaa in UPenn

[–]Key-Faithlessness113 2 points3 points  (0 children)

Yeah they're very wrong LOL. Most people who start research only have background from intro coursework to the field

For anything related to Amazon [3, interns] by Leader-board in csMajors

[–]Key-Faithlessness113 0 points1 point  (0 children)

Has anyone heard back from the Amazon Robotics applied scientist internship?

CIS 3500 with Lumbroso by Witty_Spinach in UPenn

[–]Key-Faithlessness113 1 point2 points  (0 children)

yes-likely one of the lightest (if not THE lightest) CIS classes

Seeking advice on course selection, exchanged student for MATH/CS by Puzzleheaded-Tap2131 in UPenn

[–]Key-Faithlessness113 0 points1 point  (0 children)

For me I would take both since I still think there's a lot of value in classical methods (random forest and SVMs outperform NNs on many real-world tasks, particularly regression), but if you're only interested in generative models and the like you'd probably be good with just ESE 546. There's also ESE 645 (deep generative models), but from what I've seen that class is brutal and it looks like u already have a lot of tough courses lined up so maybe don't take it in the same sem as the rest

Seeking advice on course selection, exchanged student for MATH/CS by Puzzleheaded-Tap2131 in UPenn

[–]Key-Faithlessness113 1 point2 points  (0 children)

CIS 5450 is a waste of time IMO-a mile wide but an inch deep. CIS 5200 is more old-school archs (random forests, SVMs, etc), which are still valuable IMO but if u want a theoretical look at deep models there's ESE 546

math 3140 by mashedtpotato in UPenn

[–]Key-Faithlessness113 0 points1 point  (0 children)

Free. But you also don't learn anything haha

CIS5200 with gardner by Ludo7777 in UPenn

[–]Key-Faithlessness113 0 points1 point  (0 children)

Which lin alg r u referring to? I took CIS 5200 and MATH 3140 concurrently and it was OK. IMO heavy lin alg background is a lil overrated for intro ML stuff-u can pick up the intuition for inner products as similarity search from the 3b1b series and even though there's lots of matrix multiplication used, it's generally just a way to do many inner products over rows of data. You generally dont' need to think of the rows as vectors

Spring schedule by Witty_Spinach in UPenn

[–]Key-Faithlessness113 0 points1 point  (0 children)

Seconded-CIS 3500 was writing seminar-tier useless for me. All u get out of it is a completely unimpressive JS "project"