not very strong. i had a decent understand of coding concept and principles, which is all i really needed though. not very strong coding skills overall though

You still at this job?

nope moved onto a different & better job for me

Similar position/company?

@op Do you have any interest in going back to college or no?

yeah so i'm now a senior product manager instead of a product manager.

i'm at a smaller company (previous company was around ~5k people), new company is is about 1/10th of that.

i regularly get to work with CEO, work remotely, and have a lot more responsibility and stuff. bigger company was great and i learned a lot, but feel like being in a smaller, scrappier environment fits my skillset a lot more

I've thought about it for sure, but the lack of a college degree hasn't really impacted me up to this point.

Now that I have a fairly senior role at a well known, well funded company, it gives me even more backing and credibility. So not really sure a bachelor degree in college would make much difference at this stage.

Certainly something I think about every now and then, but at the same time, hard to really justify the time and energy and I don't think I'd learn anything particularly valuable at this stage of my career

Thread title made me irrationally angry

post pay stubs and some PRDs big dog or perma ban

op definitely a sociopath

lol

Damn that's real

oh this isn’t a f*** around around to the top thread op actually worked for it

Let me know once someone drops the method to get a 300k position by working 5 hours a week remote max

@op what are your thoughts on iOS development? good field to enter or stick to web?

yes, Conditional random fields (CRFs) are a class of statistical modeling methods often applied in pattern recognition and machine learning and used for structured prediction. Whereas a classifier predicts a label for a single sample without considering "neighbouring" samples, a CRF can take context into account. To do so, the predictions are modelled as a graphical model, which represents the presence of dependencies between the predictions. What kind of graph is used depends on the application. For example, in natural language processing, "linear chain" CRFs are popular, for which each prediction is dependent only on its immediate neighbours. In image processing, the graph typically connects locations to nearby and/or similar locations to enforce that they receive similar predictions.

Ngl I never used a CRF before but I seen some papers where it does some pretty crazy s***

I got a book on this topic I'm tryna read

i think there's a lot of value in being as full stack as possible. if you have a background in web, i'd recommend at least getting some experience in iOS/mobile. then work on the problems you're most passionate about from there.

True that. You have to do so much mundane going thru the motions s*** in college. Plus it takes a lot of time for a long time.

What you make now

the wikipedia article is a whole 'nother language to me, my brain does not want to engage with it AT ALL. I cant imagine a whole book about it

is it basically just instead of reading array[x] by itself, additionally reading array[x-1] and array[x+1]?

What were you doing at that support position and what were you looking for and telling companies when you were trying to get your start?

bruh u askin the wrong guy, its too complicated i always forget the details

Hell yeah get it. Hopefully your job won't suck ass