We are all aware of the groundbreaking change that has struck academia, one of the Stanford’s first full courses is now available to the public for free. If you are not enrolled, click here. In a class of 140K+ students, one needs to find a good study group and resources, where they can post their questions and discuss AI concepts. Here is a list of top study groups which I could find in todays date.
1. Facebook Groups
Yes, this will be our top most source, since Facebook is the first thing that many of us open when connected to the internet. I could find the following groups for the open class on Facebook :
2. Google Group & others
They are very much alive and serve as a nifty forum for academic discussions.
Google Group e-mail address: firstname.lastname@example.org
3. Twitter Feeds
Twitter feed with #aiclass can help you to find plenty more users who have enrolled for the open class.
This is actually a pretty good service, which I always underestimated. You can find plenty of AI folks discussing stuff here.
Use keywords like Stanford, AI, Open Class or Artificial Intelligence in the search.
For the folks in Bay Area check out >> http://ai-meetup.org/
Here is a collection of useful videos explaining the concepts used in the AI Open Class by Prof. Peter Norvig and Prof. Sebastian Thrun. You can discuss your doubts in the comments and view lectures before they are visible on your AI-Class profile. There are plenty more sources like Khan Academy etc.
7. AI eBooks
I’m not sure which legal approach you want to pursue, but just grab a good AI book which can help you in solving problems. I found this link >> Click here
8. Stanford AI Class Notes on Google Docs
The AI community/class has collaborated & put together the following notes at the moment. Just go through the handout for a recapitulation of the lecture.
9. Google Hangouts
You can add yourself to this Stanford AI Circle, decide your open class G+ Hangout friends. Click here
10. Learning Python in less time
Google Code and The New Boston have some incredible tuts on Python. Just a matter of minutes…
If I have missed any of the good resources, feel free to leave a comment below. All the best to all the folks who have enrolled for the open class!
Hat tip to Linh Pham for sharing the latest updates on this topic via Google+
You can submit questions on the current week’s material on the discussion page. Professor Thrun and Professor Norvig will answered the top questions and recorded their answers. Here we go…
Donald Knuth’s Annual Christmas Tree Lecture – Free Live Lecture
Stanford is broadcasting a free annual xmas lecture from Professor Donald Knuth on Bayesian trees and BDDs on Thursday Dec 8 at 6:30pm PST. It might be a great supplement to Professor Thrun’s discussion on Bayesian networks. Register Online! (Thanks to Linh Pham for sharing this update)