drew

4 ms·

1.
by drew 10y ago
Yeah, in my org we have a dedicated data engineering team that owns the pipeline and production data systems plus an analytics team that owns reporting and making data available to non-technical data consumers. That leaves complex research
2.
by drew 10y ago
The problem is DS is really 2-3 different disciplines under one nebulous title. What you're describing is folks who are prototyping and productionizing models. That's definitely in short supply, but random STEM PhDs are in no way
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What PhDs do wrong (and right) when applying for data science jobs(medium.com)
2 points by drew 11y ago|0 comments
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Joi Ito, MIT Media Lab Director, on startups, tech, and learning(sixquestions.co)
1 points by drew 13y ago|0 comments
5.
by drew 13y ago
We track clicks on each of the four login methods, and compare it with successful sign in events with each of them. So we know completion rates for each type, plus which types are preferred by users. Nothing fancy, just google analytics eve
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by drew 13y ago
You can see how we communicate it on our site if you're curious. Basically it's a modal dialog with four options: * Facebook * Google * Twitter * Email We don't use the persona messaging, and I think people's expectat
7.
by drew 13y ago
The paradox here is that people are more familiar with the appearance of home-grown-style login systems and are more willing to follow through on those than the novel Persona flow, even though the security characteristics of Persona are str
8.
by drew 13y ago
The gmail case is special, actually. For a few domains (gmail, yahoo, not sure which others) it will fall back to a flow that's more like OAuth. But for unknown domains it sends you an email with a link, and then requires you to create
9.
by drew 13y ago
In principle, Persona is great. Not storing passwords is awesome, a non-FB/Google/Twitter identity option is important. I would encourage you, though, to look carefully at your login completion metrics. I implemented Persona on my
10.
by drew 15y ago
Very cool! Excited to see what comes next. Is there anything people looking forward to these features should know to plan? Like, I was about to start doing some load balancing stuff soon. Is that a waste of my time and I should just work on
11.
by drew 15y ago
I'd love to know too, but I haven't had much luck getting profiling to work super well with node. I think I mostly just don't know what I'm doing and someone who did could answer this pretty quickly, but I haven't been particularly successf
12.
by drew 15y ago
This is obviously not super precise, but the CPU pegs (load average 1.0, 100% usage) once we get above ~9k messages/second. I don't know how much overhead there is on socket in terms of bandwidth, but some back of the envelope math makes it
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Socket.io benchmarking - how many messages can you send per second?(drewww.github.com)
65 points by drew 15y ago|11 comments
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by drew 15y ago
Unfortunately, this isn't just a question of interpretation. Legally, there's no differentiation between those two categories. One is more ethically problematic than the other for sure, but you're just as screwed having either on your compu
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by drew 15y ago
(disclosure: one of the authors) We're definitely not interested in business success in any sense. In some ways, anti-success is more interesting to us as researchers because academics tend to study communities that are successful, popular,
16.
by drew 15y ago
The thing is, cp includes self shots of people under 18. There is TONS of that on /b/, of both genders. It's awfully hard to tell 19 from 17 when you're taking a topless picture of yourself in the mirror.