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.
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?
Yeah but a toll doesn't accurately reflect the amount of damage done to a road. A light econobox will do just about no damage to a road whereas a huge F350 with a curb weight of over 3 tons is going to do a great deal more damage even though it might only weigh twice as much. Adding to this, a large truck is going to make passenger vehicles look like a rounding error. Tolls could be made to reflect the estimated additional wear and tear on the road but effectively this would mean that passenger cars just pay a toll for the initial construction costs of the road and large vehicles pay the same plus an additional charge to cover all of the wear to a road.
That PDF is one of the worse documents of any kind that I have seen. Given that you're just giving general info about road wear, you could probably have simply stated that road wear is typically proportional to the fourth power of axle load. A cursory internet search pulled up the following document which seems to give a good overview of the topic:
> What about maintenance costs? Those are dependent partly on the level of use a road experiences.
Maintenance costs are dominated by weather.
Typically this argument is the last refuge of someone who wants tolls because they hate cars (or are a company that collects tolls), because it's technically true but practically ridiculous. It has the same basis as claiming we should charge tolls to pedestrians for the damage they do to the sidewalk with their boots.
In some hypothetical world where the transaction costs and privacy costs and other overhead didn't exist it's technically true that you might want to charge someone the 3/8ths of a cent worth of additional maintenance they cause, but in practice those costs do exist and you end up paying a dollar to collect a penny.
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.
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.
She doesn't seem to have used it since leaving.