As much as I like the phrase "buzzword-powered horseshit," there are always opportunities to apply new technologies in a creative way. In this case, it seems obvious to me that NNs will do a good job in identifying latent features that would otherwise slip past a linear model.

Sure, NNs "could" do that...but they are far more likely to just memorize a bunch of stuff when someone who isn't well versed with ML just applies an out of the box solution to a problem, looks at a simplified cross-validation number (I hope) and assumes that NN is better than some simpler model.

If the OP had actually posted a blog talking through things he did and how the NN helped and why he believes it is actually learning something useful and not just learning the noise, then this would certainly be interesting. But I've seen far too many people take powerful, flexible models with a large number of parameters and throw them at simple problems, with insufficient data and thought.

I'd normally give someone the benefit of the doubt...but taking the sum total of the quality of the linked web page, the complete lack of any meaningful information, as well as op's reply to my comment that added no real useful information regarding the actual benefit of throwing deep learning at this, I'm still inclined to stick to my original feelings regarding this post.

Prevention is not the issue. It is the development of reactive thought patterns that result in being distracted too frequently. It's hard to think when you're used to not thinking at all.

I've lived in Toronto for a while and Queen's Quay is lined with expensive condos and corporate skyscrapers. I don't really understand what you mean by scummy.

Do you mean the port lands? There's nothing wrong with that area. It was built for industrial shipping. The only eyesore in that area (Rebel) opened up no more than 3 years ago. If you mean Lakeshore, those tent cities under the Gardiner are recently established as well.

Take a water taxi over to Hanlan's before Winter rolls around. It'll change your perspective. We have a beautiful city.

It's nothing compared to the Vancouver waterfront, though, with the park, seawall, convention centre, floatplanes, and everything else.

The Waterfront is a lot like Yaletown, minus the yuppie businesses (e.g. Gelato shops, specialist stores which use words like "bespoke" or "artisanal" to describe their wares) .

Twins and siblings that look like you are not random people.

Now I'm imagining the FBI using its facial-recognition databases and tracking down people who look like the phone owner to wave an iPhone in front of their face.

I'd watch that TV show.

"Dylan and Luke are bounty-hunters of a new breed. They have to find the long-lost twins of suspects on FBI's Most Wanted list. On this episode of Face Hunters..."

But you’d have to do it without it seeing people you don’t intend to test with. You only get 5 tries. You can’t wait too long or it will hit the timeout.

Sounds like a movie plot to me (I made a guess at one if you dig through my comment history).

I think it's unfair to characterize a company with over 200,000 employees as a technical sweatshop. The organizational structure is flat to limit the reach of poor management and lacklustre engineering.

I loved my job as an intern there. My manager was great. My team was great. Everyone worked between 8 and 10 hours per hours, with those on the latter end of the spectrum being intense, CS-in-your-veins types.

I can respect your perspective if you've worked there and your experience left much to be desired, but it is still a bit silly to make sweeping generalizations for a company as large and expansive as Amazon.