danger

9 ms·

61.
by danger 17y ago
+1 for this thread
62.
by danger 17y ago
your idea sounds interesting, but i think it's getting at a different comparison. as presented, the contest is about who can design an algorithm to get the most out of a set (but large) quantity of data. what you're suggesting is where to
63.
by danger 17y ago
You think you can build a model that is better than the bookies's?
64.
by danger 17y ago
That sound fun. I think the rule should be a bit more hardcore, though: that the predictions have to come from raw data. i.e., no meta-algorithms that use information about seeding or expert predictions, but if somebody wanted to gather, s
65.
Data for 2009 + 2010 March Madness. Can your algorithm predict the tourney?(blog.smellthedata.com)
20 points by danger 17y ago|7 comments
66.
Got machine learning? Prepare your algorithms for data-driven March Madness 2010(blog.smellthedata.com)
6 points by danger 17y ago|0 comments
67.
by danger 17y ago
Great, timely article!
68.
by danger 17y ago
I've tried that one before and--no joke--the person got very excited, and started going on and on about aliens and life on Mars. I couldn't figure out why until I realized that he had mistaken AI for ET.
69.
Conversation starter: Machine learning in one sentence(blog.smellthedata.com)
19 points by danger 17y ago|9 comments
70.
by danger 17y ago
A few memories of Sam from a Toronto machine learning student: http://blog.smellthedata.com/2010/01/sam.html
71.
Scientific Controversies and Hot-button Issues(blog.smellthedata.com)
1 points by danger 17y ago|0 comments
72.
Wine worries? Worry no more(winetaylor.com)
1 points by danger 17y ago|0 comments
73.
by danger 17y ago
Here's a bit more on the subject: http://news.ycombinator.com/item?id=846514
74.
Analysis of Nate Silver's Analysis of Oklahoma Student Poll Pollster Fraud (blog.smellthedata.com)
24 points by danger 17y ago|1 comments
75.
by danger 17y ago
SVD doesn't work when you have a sparse matrix as input. You could use some sort of imputation method (like EM) to fill in all of the missing values then run SVD, but this would be extremely inefficient, since only a tiny fraction of the us