1. http://www.shortscience.org/
    • Website which summarises already published papers in Machine Learning, Computer Vision, Deep Learning domains maintained by some amazing people in the community.
  2. http://www.probabilistic-numerics.org/
    • Website dedicated to concepts in Probabilistic Numerics,  maintained by amazing researcher Michael A Osborne (who was also invited speaker at Deep Learning Summer School, at UdeM) and colleagues.
  3. http://people.idsia.ch/~juergen/
    • Amazing page full of references for people interested in Artificial intelligence in general.
  4. http://www.cs.ox.ac.uk/people/yarin.gal/website/blog.html
    • Yarin Gal’s Blog with some amazing explanation about uncertainty in Deep Models
  5. http://www.gaussianprocess.org/
    • The Gaussian Process website. With tons of information about GPs
  6. https://arbital.com/p/bayes_rule/?l=1zq
    • Eliezer Yudkowsky’s blog page on Bayes’ Theorem was moved to this link.
  7. http://yudkowsky.net/
    • Eliezer Yudkowsky’s website with some very interesting posts on variety of topics like Rationality, Singularity.
  8. https://intelligence.org/
    • Machine Intelligence Research Institute website. Its Research guide has some amazing ideas.
  9. http://bayes.cs.ucla.edu/WHY/
    • Book of Why related publications, videos and articles.