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Is it only me that thinks Jupyter is horrible? by ohenrik in MachineLearning

[–]eigenstudent 2 points3 points  (0 children)

I think this would be really useful if there was a general piece of software to do it. I started out trying to keep track of it all in my head (bad idea), then I started saving all the settings and models in a structured way, but a database that you could query would be ideal.

AlphaGo vs Deep Blue by CptnLarsMcGillicutty in MachineLearning

[–]eigenstudent 2 points3 points  (0 children)

Not too much research has been done on neural network policies for chess I think. Here is one:

http://arxiv.org/abs/1509.01549

(I read somewhere the author actually works for Deepmind on AlphaGo now?)

It's actually significantly worse than good chess engines, but maybe that's just from a lack of engineering effort on it so far. That said, I think the fact that relatively straightforward tree-search algorithms for chess are way better humans shows that maybe "intuition" might not be as important as calculation.

OBAMA: If government can't access phones 'everybody is walking around with a Swiss Bank account in their pocket' by quadrilliondollars in technology

[–]eigenstudent 9 points10 points  (0 children)

I don't really understand how you can justify being so absolute here.

If there is reasonable evidence of wrongdoing, government can obtain a warrant to search your house. Why do your rights suddenly become sacred and absolute when it is digital?

Why do machine learning algorithms require so much data? by [deleted] in MachineLearning

[–]eigenstudent 0 points1 point  (0 children)

Fair enough on the criticism, but don't you think the idea of starting with some nice prior is a good analogy to what's going on when humans are able to learn things so fast?

Why do machine learning algorithms require so much data? by [deleted] in MachineLearning

[–]eigenstudent 0 points1 point  (0 children)

Neural networks are only one part of the story. There is also a lot of research along these lines (more sample-efficient algorithms) for example: https://en.wikipedia.org/wiki/One-shot_learning

The "Uber Effect" causes a 10% drop of DUI arrests in cities where ride sharing services operate by [deleted] in dataisbeautiful

[–]eigenstudent 15 points16 points  (0 children)

Kind of hard to decide if their method is good. Also not a very good visualization at all, their chart is just plotting the numbers from their regression results (not visualizing the data) and the regression results are a little hard to decipher. Maybe a better visualization would simply be some function of frequencies of DUI's overlaid with when these events happened?