[t3kcit]

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.

[riffraff]

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

maybe you should submit more of their posts :)

[achompas]

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.

[ogrisel]

Other blogs by sklearners:

http://peekaboo-vision.blogspot.fr/

http://www.mblondel.org/journal/category/machine-learning/

http://gael-varoquaux.info/blog/?cat=20

http://fseoane.net/blog/

http://blog.vene.ro/

[t3kcit]

forgot the link: http://scikit-learn.org/dev/auto_examples/plot_classifier_co...