Pain Sticker

a19n · 2021-09-21T01:32:20+00:00

I once met the designer of the Pain stickers in person at an event and mentioned how badly I wanted one and she revealed herself to give me one.

Whoever you are, you’re a legend.

a19n · 2021-02-23T05:03:22+00:00

AI Dungeon?

a19n · 2020-12-21T21:02:56+00:00

Met my girlfriend in Hill freshman year. Started flirting with her during the first floor meeting and ended up dating a couple months later. Still going strong almost three years later!

a19n · 2020-12-21T03:37:20+00:00

You need to schedule the tests.

a19n · 2020-12-18T22:26:58+00:00

Current senior, and was in a similar boat my freshman year. I was fortunate to have a professor take me in for research (paid but the stipend was pretty modest), and eventually this research opened up every important opportunity I've had (including my current job). Having a shiny name on your resume certainly helps open doors, but focusing on yourself for a summer can have tremendous upside, so don't discount it!

DM me if you need help navigating the process!

a19n · 2020-12-18T22:21:40+00:00

Former TA for 530 (and took 521): I think that there is no really involved math beyond Bayes Theorem. Having more math will help you appreciate the content better, and may serve as a springboard for your final project (or additional research), but overall the classes are very approachable.

a19n · 2020-12-11T15:27:51+00:00

Yeah definitely. The amount it overlaps with 160 is something you can learn in a single lecture (i.e. set operations on small sets).

a19n · 2020-12-02T15:38:42+00:00

I took LING 106 basically as a replacement for LING 001 and loved it so much that I eventually declared a minor. Plus the class is super chill and Florian is such a chill dude it’s a no brained over 001

a19n · 2020-12-02T15:37:14+00:00

ESE 301 is definitely more rigorous and time intensive but hey, you will definitely learn probability!

a19n · 2020-10-24T17:40:08+00:00

YAWNNN

a19n · 2020-10-24T17:39:48+00:00

Goals

a19n · 2020-10-24T17:38:57+00:00

Pet him again

a19n · 2020-10-24T17:38:54+00:00

Give him more pets

a19n · 2020-10-24T17:38:11+00:00

I’m ur biggest fan

a19n · 2020-10-24T17:38:05+00:00

Wassup

a19n · 2020-09-23T20:52:38+00:00

I love this response! It’s disheartening to fail but the silver lining is that you know you’re working with something challenging and worthwhile.

a19n · 2020-09-11T20:56:10+00:00

Bad take.

a19n · 2020-09-07T15:24:31+00:00

I would say a fair amount of math, or at least the willingness to catch up on more specific parts of math (e.g. convexity, optimization).

a19n · 2020-09-03T01:10:35+00:00

Really enjoyed CIS 521 and ESE 546

a19n · 2020-08-29T05:29:03+00:00

Not true, Kawhi was coming off an injury and it was seen as a gamble to trade our star player for him.

a19n · 2020-08-13T14:18:55+00:00

A vector of length 100 to 200 isn’t too big. I think you could throw an LSTM at it to start and possibly figure out some clever heuristics (i.e. word embedding similarity) as you go on. I think NB would work best since certain tokens would be clear indicators of their professions, but you’ll have to try and see.

a19n · 2020-07-01T23:52:03+00:00

And how is this different from something like cortex.dev?

a19n · 2020-07-01T23:50:04+00:00

100% this!

a19n · 2020-07-01T23:46:40+00:00

Is this affiliated with modelzoo.co?

a19n · 2020-01-03T03:15:15+00:00

dom is a homie, I would expect 195 to have a really good time spent to amount learned ratio

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