sumodds

6 ms·

1.
by sumodds 13y ago
I agree and disagree. I am a candidate and prefer coding challenges provided they are reasonable. Meaning, if you are wanting to check the person's ability in x, check the person ability in x, not y. So for example give a starter code
2.
Google's ever waning morality (New Slogan : BE EVIL).(secure.sierraclub.org)
1 points by sumodds 13y ago|0 comments
3.
by sumodds 13y ago
That is a weak argument :). Not really, there is a certain and rather high possibility that common man can buy Tesla cars. Sure, there is a premium price tag now, since we are still chipping the first blocks in making that technology a n ec
4.
by sumodds 13y ago
I am not as much against automated trading, as I am against High Frequency Trading. Automated trading itself is still dangerous, in that many of these algorithms are black-boxes. They induce complexity and turbulence into the system. For ex
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by sumodds 13y ago
I disagree with this assumption. The problems with military research, law firms, advertisements are of degree not of its existence. Sure, they have their own problems. But we need military research: which is arisen out of insecurities of na
6.
by sumodds 13y ago
I do Computer Vision/Machine Learning for a living, but would caution a little against super-focusing on a narrow area. AI in general is known for its AI winters, where jobs dry up and opportunities are far fewer and you could have a l
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by sumodds 13y ago
No problem here in Mountain View :)
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by sumodds 13y ago
Wallstreet ;)
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by sumodds 13y ago
I loved the first part of the argument, that many a time causality is not from one source but multiple (often overlapping and even contradictory sources). But towards the end, you sort of do the exact opposite :). The assertion that "But dr
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by sumodds 14y ago
Not that only, I had a high variance on my bias.. ;)
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by sumodds 14y ago
Lol.. my bad. I did not pay attention. I thought the error was in percentages. (I was comparing with MNIST and somehow assumed this too was percentages). Come to think of it, that is really dumb (what that would mean) !!
12.
by sumodds 14y ago
Am not sure if you can apply winner takes all for such marginal difference in error. Give a slightly different database and things go awry. Check out : "Unbiased Look at Dataset Bias", A. Torralba, A. Efros,CVPR 2011.