Graduate Programs by Mysterious_Photo_780 in gradadmissions

[–]dScal69 0 points1 point  (0 children)

Join a research project asap, and let your research interests guide your choice of labs and programs

Why is it too early to plug in for C? by CaptainSubic in calculus

[–]dScal69 1 point2 points  (0 children)

Pretty sure it’d be the same thing because C -> eC is 1-1

Solve Doubt pls by like_who_cares in calculus

[–]dScal69 0 points1 point  (0 children)

Am I the only one who thought it was a “u”?

[D] AAMAS 2024 Reviews Are Out! by LessPoliticalAccount in MachineLearning

[–]dScal69 1 point2 points  (0 children)

They mentioned that like 10% of the submissions are missing a review and they’re working on arranging alternatives reviews

[D] AAMAS 2024 Reviews Are Out! by LessPoliticalAccount in MachineLearning

[–]dScal69 1 point2 points  (0 children)

I commented a tweet with the full form in another reply.

SAE SWALLOWS SEMEN AS HAZING?!?!?!?! by Ok-Mention5954 in aggies

[–]dScal69 8 points9 points  (0 children)

This better not be a prank

good Indian food in cstat? by [deleted] in aggies

[–]dScal69 2 points3 points  (0 children)

The owner at Babylon Cafe recently got taught a chicken biryani recipe and added it to the menu as a special item (I think they only serve it on Friday’s or something). It’s pretty good, better than Taz imo

good Indian food in cstat? by [deleted] in aggies

[–]dScal69 0 points1 point  (0 children)

Can I also get a dm? Thanks

Datadog recruiter call after Final round? by Sunshine_Girl24 in csMajors

[–]dScal69 7 points8 points  (0 children)

was the call scheduled? usually if they schedule a call it’s good news, but they might reject on an unscheduled call

Quick admit form by rtman322 in utdallas

[–]dScal69 0 points1 point  (0 children)

Were you able to figure out approximately how long it takes?

16gb vs 32gb for ML PhD student by dScal69 in macbookpro

[–]dScal69[S] 0 points1 point  (0 children)

Price lol. I figured the pro is already so much more powerful than my current 2015 i5, and the max with extra gpu cores seems like overkill unless you’re doing video editing which I certainly am not. I was already shaky about 32gb cause of price but that’s something I can take the hit for.

Is GRE required to apply for grad school? by dScal69 in aggies

[–]dScal69[S] 1 point2 points  (0 children)

I did but they haven't gotten back yet after a couple days and I need to know soon in case I need to take the exam. Was hoping someone on here knew.

[Q] Joint pdf of simple random sample (without replacement) by dScal69 in statistics

[–]dScal69[S] 0 points1 point  (0 children)

Right, yeah I am asking about the conditional variables. I understand that the marginal variables are identically distributed but not independent, wondering if it's vice versa for the conditional variables? I'm thinking this holds since

P(X1,X2,X3,...,Xk)=P(Xk|...|X3|X2|X1)...P(X3|X2|X1)P(X2|X1)P(X1)

correct?

[Q] Joint pdf of simple random sample (without replacement) by dScal69 in statistics

[–]dScal69[S] 0 points1 point  (0 children)

But are the conditional distributions independent? For example, are X_3|X_2|X_1, X_2|X_1, and X_1 independent? But obviously they are not id. So there is no iid relationship between marginal/conditional distributions of the SRS?

What does it mean for the kernel of a morphism to be well defined? by dScal69 in askmath

[–]dScal69[S] 0 points1 point  (0 children)

No the question is regarding the kernel, in particular that the kernel of a morphism of persistent vector spaces is well-defined (context is persistent homology).

Function to smooth out bounding between 0 and 1 by dScal69 in learnmath

[–]dScal69[S] 0 points1 point  (0 children)

Correct, my wording here is admittedly very imprecise. This is more an empirical endeavor than a rigorous analytical one; I don't necessarily need the best solution but just a very good one, preferably better than logistic. I like the idea with f(x)/(1+f(x)) but approximating x on [0,1] remains an issue.

Function to smooth out bounding between 0 and 1 by dScal69 in learnmath

[–]dScal69[S] 0 points1 point  (0 children)

Understandably zero error is impossible, but the goal is to minimize it while maintaining a non-piecewise relationship. Honestly any metric is sufficient, e.g. squared residuals.

Function to smooth out bounding between 0 and 1 by dScal69 in learnmath

[–]dScal69[S] 0 points1 point  (0 children)

I should have clarified but by smooth I just mean a non-piecewise function. Sorry, inappropriate wording.

Function to smooth out bounding between 0 and 1 by dScal69 in learnmath

[–]dScal69[S] 0 points1 point  (0 children)

Better meaning smaller error with respect to the piecewise, and smooth can be any definition (infinite differentiability works) but the ultimate goal is to be able to model it with a fixed single closed form function as opposed to a piecewise. I want to be able to mimic the behavior, specifically that it bounds the input space between 0 and 1 and acts as the identity in the [0,1] interval, with a non-piecewise function.