blurps

5 ms·

1.
by blurps 7y ago
> into the trash bin? They did not implement the winning solution as is, but a lot of good stuff came from the winning teams, including techniques (such as SVD) that are in use as of today (or maybe a few years back). > just a nonsens
2.
by blurps 7y ago
This only works when you don't win. You have to upload your code, including model training code, they won't accept a trained model binary.
3.
by blurps 7y ago
Winners have to submit code most of the times. There are sporadic computer vision competitions where it is possible to hand-label (such as geo-int competitions where people reverse engineered the flight paths), but vast majority it is impos
4.
by blurps 7y ago
The Netflix Prize winners regularly compete on Kaggle. One of the top 10 Netflix Prize winners joined Kaggle early on (he got a job out of it). Kaggle competitions are a game. Most notorious players already have a good job.
5.
by blurps 7y ago
You are using the same tactic I described: State surveillance has the potential to turn us all into Nazi's, so state surveillance is inherently bad. How can I ever hope to support the good of state surveillance for national security wh
6.
by blurps 7y ago
Great informative article, but at times the posing is naive or supporting a certain narrative. For instance: The government goes after Islamic terrorists and Mexican illegal immigrants. So what to complain about? Mix cause and effect to pos
7.
by blurps 7y ago
Thanks. I'd never considered adaptiveness of a theory before and I like it. Perhaps adaptiveness at times emerges spontaneously from simplicity / regularization. But it is good to keep it in mind from the very start.
8.
by blurps 7y ago
Just like one can't disprove solipsism, one can only brush it aside as pragmatically useless. Just because a theory is internally consistent or even accurate, does not mean it is a good all-around theory: simplicity and elegance counts