A couple of pages we occasionaly read:
GitHub meets Arxiv, or machine learning papers with code. Heavy focus on deep learning.
An Armenian blog on neural networks.
Delip Rao recently started blogging, looks good so far.
Jan Hendrik Metzen has a blog on machine learning and python. We posit that you’re gonna like it.
Ferenc Huszar explains some deep learning papers he liked.
Jake Vanderplas’ blog, mostly on machine learning, Python and visualization.
Christopher Olah has a couple of insightful posts about neural networks and convolutions.
Sander Dieleman’s blog about deep learning, with details.
Triskelion’s blog, mostly about Kaggle competitions.
Radim Řehůřek is the author of gensim, has a rather interesting blog.
Paul Mineiro, at
YahooMicrosoft, has to do with Vowpal Wabbit.
John Langford’s blog is less technical, more organizational, but contains interesting tidbits and references.
Daniel Lemire’s blog on science and stuff.
This site has a couple of fresh posts, recently about factorization machines.
Like The Onion, but focused on tech, smaller scale and more… smooth?
http://researchinprogress.tumblr.com (seems no longer updated)
Life of an aspiring scientist in animated pictures. Here’s one, entitled “How I sell my method”:
And finally, a one-time, easy read: You and your research - a transcript of a talk by Richard Hamming, a great scientist. He talks about how to be a great scientist.