A couple of pages we used to occasionaly read:

• YerevaNN
  An Armenian blog on neural networks.

• http://deliprao.com
  Delip Rao recently started blogging, looks good so far.

• https://jmetzen.github.io
  Jan Hendrik Metzen has a blog on machine learning and python. We posit that you’re gonna like it.

• http://www.inference.vc
  Ferenc Huszar explains some deep learning papers he liked.

• https://jakevdp.github.io/
  Jake Vanderplas’ blog, mostly on machine learning, Python and visualization.

• http://colah.github.io/
  Christopher Olah has a couple of insightful posts about neural networks and convolutions.

• http://benanne.github.io/
  Sander Dieleman’s blog about deep learning, with details.

• http://www.machinedlearnings.com/
  Paul Mineiro, at Yahoo Microsoft, has to do with Vowpal Wabbit.

• http://hunch.net/
  John Langford’s blog is less technical, more organizational, but contains interesting tidbits and references.

• http://zinkov.com
  Not that much content but some nice entries, for example on how to read scientific papers.

• http://www.johndcook.com/blog/
  John D. Cook writes about scientific computing, offers some worthwhile thougts, for example on he most important skill in software development.

• http://blog.echen.me
  Edwin Chen has some interesting posts, like the one about clustering McDonald’s menu. It answers an interesting question: how many clusters are there in the menu?

• http://lemire.me/blog/
  Daniel Lemire’s blog on science and stuff.

• https://raberrytv.wordpress.com/
  This site has a couple of fresh posts, recently about factorization machines.

• https://medium.com/halting-problem/fbi-teams-up-with-china-to-hack-apple-iphone-a1f6d7f5bcef
  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• http://researchinprogress.tumblr.com (seems no longer updated)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.