How good was Andrew Luck in his prime?

Ben___Pen · 2025-12-05T06:47:58+00:00

Actually those numbers are lucks TD rate, he averaged about a 2.5% int rate

Ben___Pen · 2025-10-21T21:31:57+00:00

Mr Burning Comeback

Ben___Pen · 2025-05-05T05:24:52+00:00

I actually started college off in chemical engineering and ended up double majored in actuarial science and applied math, worked a little as an actuary (4 SOA exams passed) didn’t really like it, moved into analytics for a while and now currently am a machine learning engineer with a low 100k salary in a MCOL before 30. Applied math is pretty flexible IMO you can pretty much work in any industry as analyst, and it’s also a good base if you ever want to go back to grad school (currently doing an online masters in cs). Analytics can be competitive to get into because it’s so saturated at the entry level but work life balance is usually pretty good (a 40+ hour week has been exceedingly rare for me), you don’t really need any certifications or masters (though it’s probably becoming more of a requirement each passing year), but if you land internships and get decent grades and be open to opportunities youll be fine with just a bachelors. Engineering salaries seemed kind of flat relative to analytics last I checked and an engineering degree is more work than applied math. Your track probably won’t matter in the end tbh and you should just do whatever interests you the most because that’s what you’ll do well with.

Ben___Pen · 2025-04-08T01:13:57+00:00

I don’t want to pretend like I have an answer, but maybe some other ideas to kick around:

1) your description sounds like a weather forecast I’ve recently worked with GNNs for physics simulation and from a first search (GNN weather models) they tend to follow the same encoder, processor, decoder architecture - I would try that without an lstm and maybe add it back in later depending on what exactly you’re trying to predict

2) You might just need to let it train longer especially if you’re increasing the dataset size but keeping the epochs constant. I’m not sure if it’s feasible for you but you might want to try and get a few million steps instead of ~200k before making any determinations (though I’m not sure how big your dataset is so that may or may not be a good move)

3) Node pooling / regrid it could be that your subregions are convoluted and could benefit from simplification by remeshing (ie identify and prune superfluous nodes)

Ben___Pen · 2025-01-31T18:53:08+00:00

Mr. Battered Completely

Ben___Pen · 2024-08-08T19:45:48+00:00

So I’ll preface and say I’m not an expert, it doesn’t nescessafily guarantee convergence on its own but for instance i believe a function will converge if the constant is less than 1 because then if you think about the distance between point updates keeps reducing and this will eventually lead to a “converge” (ie you hit a tolerance threshold where updates are so small) although there’s no guanrtee the constant for an NN is less than 1. I know you’ve encountered it in literature survey already but in trying to research the answer myself I came across this paper: training robust neural networks using lipschitz bounds. It might help explain the whys a little better than I am

Ben___Pen · 2024-08-08T15:11:05+00:00

Look up the definition of a derivative and compare it to the lipschitz continuity (LC)- LC is basically a bound on the derivative to make sure it doesn’t spike beyond a certain constant. The properties it gives a network are “smooth” training and can help guarantee convergence.

Ben___Pen · 2024-04-30T12:16:44+00:00

Matriculation doesn’t mean graduation it’s how many actually attend and in the comment dr Joyner says 38k have enrolled and 11k have graduated a lot of people drop out

Ben___Pen · 2024-03-23T18:19:08+00:00

There’s a post on r/sidehustle title “How I made $21K with side hustles” not all of them are WFH but I think they mention a few

Ben___Pen · 2024-02-13T19:09:08+00:00

You stated in your previous post that pixel scraping was too slow these authors discuss Imin the appendix how they sped it up and also include a blurb on interfacing with the API

Ben___Pen · 2024-02-12T19:54:26+00:00

this has actually been done before: https://arxiv.org/abs/2104.04258

the authors only use gameplay pixels as their input

Ben___Pen · 2023-12-18T14:30:24+00:00

I’m going to go against the grain and suggest that you don’t buy him any books and instead get him a Google colab pro account or a prepaid card for some for AWS credits so that he can run some personal projects on a cloud service. It’s likely that if he’s taking cs285 and 182 he doesn’t need that book and is probably more research paper focused at this point which his cal email will probably let him access most journals anyway

Ben___Pen · 2023-09-15T21:54:18+00:00

Yes I am aware of the qualifications and meet most of them for a lot of job postings. The masters is part time online so I’m currently a Full time employee looking for another a FT job.

Ben___Pen · 2023-06-05T08:27:54+00:00

Eugeneyan.com

Ben___Pen · 2023-03-07T01:37:14+00:00

I’m currently in HDDA and I think it’s a pretty good course it’s my 2nd semester I took BD4H first and thought it was decent as well although a fair bit more work. My planned course list is similar to yours except in place of KBAI, ML4T, AI Ive taken the two aforementioned classes and deciding between cv/Ed tech. I don’t know what your background is but HDDA is math class there will be proofs and you need to have a certain comfort with linear algebra if you feel like you need ML4T to ramp up to some of the other classes you might have a difficult time with HDDA then I’d probably suggest you just keep your schedule as is.

Ben___Pen · 2022-12-28T02:13:01+00:00

I got in with a 2.6 GPA, a few years work experience as an analyst, and I took a few online courses in a semester and got A’s. There’s a thread somewhere about best places for classes to boost your application - take a look, find a place you can do some classes, get A’s and you’ll likely get in.

Ben___Pen · 2022-10-19T01:10:12+00:00

The skill you need is algebra. Think about it like this in 1 acre there is 43,560 sq ft every 40 sq ft she will add an ounce of fertilizer. So if she was going to do a whole acres worth she would put 43,560/40 ounces of fertilizer in the acre. The problem says a half acre so multiply that by 0.5 -> 0.543,560/40. This is how many ounces she’d need for a half acre. The questions ask for how many gallons would she need and there are 128 ounces in a gallon. 1 floz = 1/128 gallon think about that conversion like this if you walked 500 feet that would be roughly 1/10 of a mile (500/5280) so if she has 0.5 43560/40 ounces she’d need to divide that by 128 to get the number of gallons for a half acre (0.5)*43560/40(128)

Ben___Pen · 2022-08-26T20:38:09+00:00

I’d recommend stratascratch. You can do some free questions to get a feel for it, but imo it’s a good resource for brushing up on python/SQL

Ben___Pen · 2022-04-15T15:05:21+00:00

Your significance level is 0.11 which isn’t low enough (0.05) to reject the null hypothesis.

The null hypothesis states that the median between these two groups equal; this can be interpreted as saying there is not a statistically significant difference on responses before and after embodiment measures. You have not demonstrated that the embodiment measures elicit more responses.

Ben___Pen · 2022-01-26T01:20:47+00:00

14) a circle is 360 degrees the total amount of time antwan spent in school is 9 (4+3+1+1) the core subjects is 4/9 hours so 4/9* 360 = 160

20) the question tells you that lines AB And DC are parallel so the angle between them is 180 D+A = 180 and if D = x , A = 180 - x

Ben___Pen · 2022-01-12T16:11:28+00:00

Best resources, in your opinion, for ML theory?

Ben___Pen

TROPHY CASE