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I'm a bit disappointed that such an unreflective post makes it to hacker news. Many of the scikit-learn staff have excellent blogs, I never saw any of those featured.

Btw, the sklearn docs have an example that I think explains different classifiers way better and also hints at a very important point: non-linear decision boundaries are mostly important for low-dimensional dense data and not helpful for text data for example.




> Many of the scikit-learn staff have excellent blogs, I never saw any of those featured.

maybe you should submit more of their posts :)


I've seen them on here. They're excellent technical posts that probably don't interest many of the main-page viewers here.

Here's Jake Vanderplas on SVD algorithms for sparse matrices:

http://jakevdp.github.com/blog/2012/12/19/sparse-svds-in-pyt...

Excellent content.






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