danger

5 ms·

1.
by danger 14y ago
FWIW, I think the title change removes a lot of information about what the post is about.
2.
Predicting March Madness(blog.smellthedata.com)
9 points by danger 14y ago|1 comments
3.
Visualizing the March Madness Field using Machine Learning(blog.smellthedata.com)
2 points by danger 14y ago|0 comments
4.
Basketball and big data: the secret to winning your March Madness pool?(pandodaily.com)
2 points by danger 14y ago|0 comments
5.
Machines Predict March Madness 2013(blog.smellthedata.com)
1 points by danger 14y ago|0 comments
6.
by danger 14y ago
So this strategy is really only effective when you'd like to raise rent by 9.1% per year?
7.
by danger 14y ago
Agreed. Here's a previous HN discussion on that topic: http://news.ycombinator.com/item?id=4281630
8.
by danger 14y ago
Another way to say what you're proposing is to use a linear predictor, and to train it by globally optimizing 0-1 loss (just the number of mistakes that you make) on the full set of data that you have. Even ignoring computational issues (t
9.
by danger 14y ago
I'd say the closest thing to a cohesive community would be the MetaOptimize Q&A forum, but maybe others have other suggestions: http://metaoptimize.com/qa
10.
by danger 14y ago
Also, for people who are interested in the application of predicting college basketball with machine learning, there's a Google group that is worth joining: https://groups.google.com/group/machine-march-madness
11.
by danger 14y ago
As another commenter pointed out, the accuracy really needs to be evaluated using a validation set, not the test set--the approach described in the post is training with the testing data. In the field, we call this "cheating". The basic
12.
How are the machines doing at predicting March Madness?(blog.smellthedata.com)
2 points by danger 15y ago|0 comments
13.
How to pick upsets?(blog.smellthedata.com)
1 points by danger 15y ago|0 comments
14.
Using RapidMiner to Predict March Madness(blog.smellthedata.com)
1 points by danger 15y ago|0 comments
15.
How to run an efficient open access journal(blogs.law.harvard.edu)
4 points by danger 15y ago|0 comments
16.
by danger 15y ago
Of particular note is the use of Theano for the machine learning heavy-lifting. If you do machine learning and haven't looked into Theano, you're probably making things harder on yourself than it needs to be.
17.
Git repo for predicting March Madness using machine learning(blog.smellthedata.com)
1 points by danger 15y ago|1 comments
18.
by danger 15y ago
Last year there was discussion where some HNers suggested that they'd be interested in participating in the competition if we allowed other forms of data: http://news.ycombinator.com/item?id=2321009 This is the early announcement this yea
19.
March Madness for Machines, 2012 edition(blog.smellthedata.com)
1 points by danger 15y ago|1 comments
20.
by danger 15y ago
I did research with Daphne (and co-authored a paper with her) in my senior year of undergrad, and she demanded a high standard of work, yes, but she was an excellent supervisor. Everybody knows how brilliant she is, but she also put a lot
21.
by danger 15y ago
See also these threads and note the number of complaints and the span of dates: http://www.google.com/support/forum/p/Google+Apps/thread?tid... http://www.google.com/support/forum/p/Google+Apps/thread?tid... http://www.google.com/suppo
22.
Long-standing Google Apps bug forces users to renew domain names(google.com)
2 points by danger 15y ago|1 comments
23.
by danger 15y ago
For mine to display scores, I had to remove the "[0]" after "filter": https://www.facebook.com/ajax/typeahead/search/first_degree.... With the "filter[0]" in the url, all scores came back as 0 for me.
24.
by danger 15y ago
http://www.google.com/search?q=%22!=%22
25.
Testing Intuitions about Markov Chain Monte Carlo: Do I have a bug?(blog.smellthedata.com)
2 points by danger 15y ago|0 comments
26.
2011 Algorithmic March Madness: Machines Lock in Victory over Humans(blog.smellthedata.com)
2 points by danger 15y ago|0 comments
27.
Dr. Scott Turner on March Madness: The Pain Machine(blog.smellthedata.com)
2 points by danger 16y ago|0 comments
28.
My 2011 March Madness Predictions using Probabilistic Matrix Factorization(blog.smellthedata.com)
2 points by danger 16y ago|0 comments
29.
by danger 16y ago
Yeah, unfortunately the "getting the word out" could have been done better.
30.
by danger 16y ago
This was the intention. Around a month ago we started asking what data people would like to use. We incorporated some of that feedback to decide what data to use for this year. If you have other suggestions, please let us know, and we'll

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