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Rickyfox
Rickyfox
12:13 PM
Decided to rewrite the question, I hope it's more accessible now.
 
gung
gung
12:29 PM
@PhiNotPi, those are good questions, but they're presumably better asked on the Psychology & Neuroscience SE site. It's not clear they'd be on topic here. You could certainly ask here about how / how well various online machine learning algorithms work.
 
 
2 hours later…
Masked Man
Masked Man
2:44 PM
@MatthewDrury Don't worry about it. If such a thing happens again, just ignore it and post your comment again.
 
Matthew Drury
Matthew Drury
@Sycorax

I like it in seattle. I've lived in a bunch of different places, and it's probably my favorite or second favorite place I've lived. It's a big city, there are lots of busses so you can get away without driving, there are TONS of parks, and outside of the city there are mountains and nature. The pacific northwest is just a wonderful climate.

There are lots of jobs for the taking. The obvious ones are at amazon, microsoft, facebook, these companies are always hiring programmers and data scientists (and all the better if you are both). There are also many smaller companies, sta…
@MaskedMan Ok. Thanks for the assist.
There's also a really strong python community in Seattle (PuPPY) which is very welcoming and inclusive. There's a healthy stats / data science / machine learning subgroup of that community (ATOM) that I help organize. This has been a great source of friends for me.
 
Sycorax
Sycorax
@MatthewDrury I'm glad to hear it. I've always heard lovely things about Seattle. Maybe I'll look into migrating there one day
 
 
4 hours later…
Sycorax
Sycorax
6:36 PM
The "data science paradox" is the observation that many statistical and machine learning results rest on assumptions of arbitrarily large data sets on the one hand, but also that statisticians and data scientists become irrelevant when data volumes become too large because managing that much data is primarily an engineering task.
 
Kodiologist
Kodiologist
7:05 PM
@Sycorax In 2018, I think it's fair to ask of a good statistican that he be a good programmer, too.
On the subject of things that never seem to change, though, a psychologist wrote "it should come as no surprise to find that the tribal rituals for data-processing passed along in graduate courses in experimental method should contain elements justified more by custom than by reason" in 1960.
 
Sycorax
Sycorax
7:24 PM
@Kodiologist I don't disagree. But my company generates 1B pieces of data every day. Mundane analysis tasks are rapidly overcome by engineering.
My observation is merely that either task is a specialization.
 

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