HN user
When I worked at Facebook, an intern had never had a profile before. She made one for work, and kept commenting that she was the only person who was seeing the features Facebook advertises heavily to the low-friendcount users.
She doesn't seem to have used it since leaving.
Another entry in the already-saturated genre of people who went to college but squandered the educational opportunity telling the rest of us that college is a waste.
You don't even have to leave the US to see cities like NY, where fewer than half of all households have a car, even including the spacious areas in Queens and Staten Island. Have you visited any of these dense cities?
For example, tolls make basically no sense ever. Once you've paid for the road you might as well get as much use out of it as you can.
What about maintenance costs? Those are dependent partly on the level of use a road experiences.
This is handy, but I wish it had been posted a day earlier -- gutted that I missed the Edinburgh Women in Data Science tea.
How big were these unicorns before they started employing h1bs? I wouldn't count this visa as a big win for startups, because most startups can't afford to enter the lottery, even if they're going to be profitable in the future.
I have spent more time dealing with compiling from the source and handling weird package interactions on osx than on any linux system I've used recently. At least the Linux system will come with a standard package manager that supports major developer tools.
Why should it not be fair? Under this constraint, the perfect equal opportunity model would be a model that accurately represents who will pay back a loan.
Uncanny Valley used specifics to satirical and humorous effect, whereas this post just deployed brand names every 10 words. I was really bored.
I don't buy it. Even DL researchers will point to representation learning systems like word2vec, a shallow NN, as as examples of the success of DL approaches.
My take: "Deep Learning" is performative (https://en.wikipedia.org/wiki/Performative_utterance). An approach falls under the header of "Deep Learning" when used or developed by someone who identifies as a Deep Learning Researcher.
Starting from only the people who apply gives a free pass to biased recruitment.
Is Agora Energiewende still counting ethanol as "renewable"? Any article about German energy that doesn't mention the country is following the same disastrous path (of fulfilling new energy demands, caused by the loss of nuclear, by moving the energy sector inefficiently to agriculture) that the US took in the Bush years is negligent.
Having a less flexible employee is a real upside for certain notorious companies. Having an employee who can't leave your company or they get kicked out of the country? That's a situation ripe for abuse.
Ugh, is every medical startup with female founders going to fall into this "Theranos" semantic frame now, with all the crappy assumptions about viability and research integrity that entails?