559 karma · joined September 18, 2008
[ my public key: https://keybase.io/eferm; my proof: https://keybase.io/eferm/sigs/KHKD9v4RdCllwwAubFUE5I5m_frwoGoFPMF8xGGCPRo ]
Also, all episodes are on YouTube: https://www.youtube.com/watch?v=lKg_t-Prhqk&list=PLmRu2axUu2...
Perhaps the cheat sheet in itself is useful for you, but mostly I'd recommend the process of assembling information in a concise way as a good way to learn.
"-I mean, there doesn't necessarily have to be more. Like, a lot of people are focused on taking over the world ... part of making a difference and making something cool is focusing intensely."
Whoa. Sean Parker really changed him. Joking aside, I wonder at what point MZ started to considering taking over the world for real.
Mac OS X 10.6.8 all updated / Google Chrome 12.0.742.122 / MacBookAir3,2 / 2.13 GHz / 4GB RAM
Would be interesting to know if you have, indeed, found an exploitable driver bugs.
Seems like the webpage to sign up for the newsletters (by email!) is http://www.cs.ox.ac.uk/industry/public/newsletter.jsp
[1] http://www.amazon.com/Modern-Information-Retrieval-Ricardo-B...
The course unfortunately couldn't cover all material on all algorithms, so the cheat sheet basically reflects my own knowledge rather than what's possible. I've referenced the Online SVM and Online Mixture model though, thanks for those.
Also, I'll have to look into stochastic gradient descent!
Good point about using cross-validation to learn K, I forgot about that. I added this to the cheat sheet.
Also regarding online learning methods, I was probably a bit quick to dismiss certain algorithms as not supporting online learning; in coursework we unfortunately didn't have time to delve into all aspects of all algorithms. I've rewritten the Online column as "To be added." for those online methods I'm not familiar with (yet). Someone else is, of course, free to fork it on Github: http://github.com/Emore/mlcheatsheet
I've changed the title to "Algorithms for Supervised- and Unsupervised Learning", which is definitely more appropriate. Initially the cheat sheet only contained linear classifiers, hence the misleading title.
http://english.aljazeera.net/indepth/2011/05/201152619612164...
If Biz Stone made the funny web-cowboy comments, Ito definitely made the thoughtful ones. He came across as a thinker. Although a complete outsider's view, I'm really looking forward to how he will run the Media Lab.
Of course, no other university would have nominated such a person for such a position. Lead the way, MIT.