Stanford

I decide that is very little point in keep writing posts just to highlight new notes, as I finish to write them. So, I decide to just share with the world all my notes about the ai-class. You will find them in (sort of) chronological order, and will give also an idea on how I studied so far (as every material I produced is in there). About the homework, I’ll make sure NOT TO PUBLISH THEM BEFORE the respective deadline: I don’t want to break the Stanford Honor Code. ...

I have been very busy at home and in the weekend, so I’m a bit behind with study and sharing my notes. I just finished going through the very interesting lesson 9, and I now have to start with lesson 10. I plan to do it on Saturday: tomorrow is a special night! ;-) Instead, regarding lesson 8, I just managed to put down the list of topics discussed, but for lack of time I didn’t put anything in writing just yet. Will eventually do it (maybe). ...

If the “mood” of the previous lessons was about Inference, I can only say that the current are about “smoothing”, “occam’s razor” and “perceptron”. 3 concepts that will remain with you even after having forgotten about all this (check it out below :-P). My notes of Lesson 5 My notes of Lesson 6 Enjoy the notes and, again, do Lesson 5, than complete the Homework, than study Lesson 6. UPDATE Sat 05 Nov 2011: I just finished putting down the notes of Lesson 6, and you can find the link above. ...

This week the ai-class was about Probability, Bayes Networks and Inference. For people like me, that have to find patches of free time to study this course, there is a good news: you can do Homeworks 2 just by studying the first of the 2 lessons. This can help to prioritise your schedule, and study the second lesson (that focuses on the “computation” over Bayes Networks) with a little bit more peace of mind. ...

Recently the online class “Introduction to Artificial Intelligente” has began. Prof. Sebastian Thrun and Prof. Peter Norvig, from Stanford University, are offering it for free. And I’m enjoying every minute of it. The idea is to trasport to the web the same course that they are teaching in person at Stanford. Almost simultaneously. One of the great notes from larvecode. It’s in my opinion a great experiment: there are 160,000 students, and will be interesting to see how it pans out. The two profs are doing their best to “leverage the scalability of the web”, instead of trying to retrofit the web into the class. That is smart. And gives them more chances of success. ...