1. Grad Student’s Guide to Good Coffee+Grad Student’s Guide to Good Tea
  2. Favorite Apps for Work and Life
  3. estimating a constant (not really)
  4. Reinforcement Learning in R: An Introduction to Dynamic Programming
  5. The Future of Machine Learning (and the End of the World?)
  6. 10 Papers Every Programmer Should Read (At Least Twice)
  7. R in the Press
  8. On Chomsky and the Two Cultures of Statistical Learning
  9. Speech Recognition Breakthrough for the Spoken, Translated Word
  10. Frequentist vs Bayesian
  11. w4s – the awesomeness we’re experiencing
  12. Why is the Gaussian so pervasive in mathematics?
  13. C++ Blogs that you Regularly Follow
  14. An interview with Brad Efron about scientific writing. I haven’t watched the whole interview, but I do know that Efron is one of my favorite writers among statisticians.
  15. Slidify, another approach for making HTML5 slides directly from R.  (1) It is still just a little too hard to change the theme/feel of the slides (2) The placement/insertion of images is still a little clunky, Google Docs has figured this out, if they integrated the best features of Slidify, Latex, etc. into that system, it will be great.
  16. Statistics is still the new hotness. Here is a Business Insider list about 5 statistics problems that will“change the way you think about the world”.
  17. New Yorker, especially the line,”statisticians are the new sexy vampires, only even more pasty” (via Brooke A.)
  18. The closed graph theorem in various categories
  19. Got spare time? Watch some videos about statistics
  20. About the first Borel-Cantelli lemma
  21. Yihui Xie—-The Setup
  22. Best Practices for Scientific Computing