stylefruits uses Clojure almost exclusively these days. https://www.youtube.com/watch?v=Hv4slaRydRM
108 karma · joined August 28, 2011
Arguably, HTTPS is one step forward, however vulnerabilities like the one discussed here make us defenceless. To make matters worse the line of defence based on reading the script works only in the case of relatively short, unobfuscated and unminified scripts written in plain text. It also requires the person who's downloading to have skills which despite being common for this community's audience are not widely spread across the population.
Sure, many projects sign their releases or announce cryptographic hashes of published files. But let's be honest: how many of us actually run `gpg` od `sha256sum -c` to verify them?
Spreading paranoia is not my goal here, however I hope that this comment will end up being thought-provoking.
echo 'inoremap kj <Esc>' >> ~/.vimrc # works like a charmI wonder what are experiences of members of the HN community who run Linux on their MacBooks, especially in case of a development-oriented environment. Could you share your opinions about such a setup? Is it worth the price of the machine?
PyPy, Cython or Shed Skin might have been answers to those number crunching problems. I'd love to learn whether they would be sufficient for OP's performance requirements. Some benchmarks look promising, for instance this one published in late 2010: http://geetduggal.wordpress.com/2010/11/25/speed-up-your-pyt...
I've used methods known as collaborative filtration, whose goal was to estimate how a given user would rate a given item basing on knowledge of preferences of other users of similar interests. The initial scope included a naïve Bayesian classifier and a technique called Slope One [1]. The latter one is particularly interesting as according to claims of its authors allows to make a very good estimation in a very short time using solely a very simple linear model. The preprocessing is both time- and space-wise expensive though as it requires you to build a matrix of deviations between rated items.
After reducing the data set to a single subreddit and filtering it from users who weren't avid voters I ran the algorithms and after some tuning I was very content to see promising ROC curves and decent AUC values. Models built around NBC and S1 achieved comparable results when it came to such metrics as precision, recall and F-measure.
When I went to discuss the results with the professor teaching the class I've heard "That's indeed promising, but how about comparing those results with a really naïve model which would just take an average of existing votes by a given user?". Guess what: the model built solely using a single call to the avg function was nearly as good as the NBC and S1 models.
Now I understand why the guys from Reddit are looking for external help with the recommender. It's a way less obvious task than it might seem to be.
[1] http://lemire.me/fr/documents/publications/lemiremaclachlan_...
Edit: s/machine learning/data mining/
As a result, isn't it so that software patents in some countries inhibit the development of standards on a global scale? That's troubling.
> The name "LLVM" was once an acronym, but is now just a brand for the umbrella project.
$ ghc --make test.hs -Wall
test.hs:1:1:
Warning: Pattern match(es) are non-exhaustive
In an equation for `fn':
Patterns not matched: #x with #x `notElem` [0#] copy and paste in the following command:
/usr/bin/ruby -e "$(curl -fsSL https://raw.github.com/gist/323731)"