Introduction to Artificial Intelligence

96% here as well. I got one wrong on the loaded coin question. My understanding of the problem was that you would have to flip the coin continuously to ascertain whether it was loaded or not. The more you flip, the more accurate your answer. However, after watching the explanation and reading it seems that doesn't make this problem continuous as there is only one action (flip the coin).

EDIT - you can find where you went wrong by watching the homework quizzes again. It marks the correct answers green and also shows what you answered.
 
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I never bothered signing up to this.
Can someone post a homework question regarding the coin...it sounds like an interesting conundrum?
 
I never bothered signing up so I never saw the lecture. But from what I can see, the question is worded with a lot of ambiguity.

Do they have a question/answer video, with regards to homework.

I am interested in these 'puzzles' and knowing the correct answers to them, for future reference.

My understanding of the word "continuous" would mean that a loaded coin would give continous results, ie. after reach a certain number, the probability of a H or T won't change. But maybe my understanding of the word continuous is incorrect.
 
Just wondered if anyone is still going with this? I'm doing quite well so far. Got 98% on the midterm exam. I've read a lot of complaints about the class though (is it really possible to complain about something you're getting for free?) and reports that the Machine Learning class is much better, with programming assignments involved. Kind of wish I'd done that instead. Maybe next year.

Would be good to hear if anyone else is finding it useful? While the material can sometimes be quite basic and sometimes doesn't go into enough depth, I feel like I'm getting to know about certain things which I'm sure I'll use later on in life, especially being a computer games programmer. In fact, I've already learned a couple of techniques that would have made past problems easier to solve.

I'm looking at getting into AI a bit more in my spare time and as an Introduction (which the course is meant to be), I think it is a great starting point and to be taught by Stanford lecturers for free is a great opportunity.
 
I never signed up for this but I see they have some more free classes coming up -

CS 101 by Nick Parlante
Natural Language Processing by Dan Jurafsky and Chris Manning
Software Engineering for SAAS by Armando Fox and David Patterson
Human-Computer Interfaces by Scott Klemmer
Game Theory by Matthew Jackson and Yoav Shoham
Probabilistic Graphical Models by Daphne Koller
Machine Learning by Andrew Ng
Cryptography by Dan Boneh
Design & Analysis of Algorithms by Tim Roughgarden
 
Chaos, when are those classes starting up?

Natural Language Processing and Machine Learning are looking good to me.
 
 
To sign up for the next round of Machine Learning (the current one ends in a couple of weeks, but the material when it restarts next year is likely to be 99% the same with some refinements), you want the new URL rather than the current one.

Current: http://www.ml-class.org/
New: http://jan2012.ml-class.org/

No news yet on when the AI class will be revisited (they have intentions of doing it again and/or branching that out into more classes), but since that one used/uses a slightly different structure and site design to the other classes, it may also run to its own schedule separate from the rest.

All the others currently listed at the bottom of any of the sign-up pages do appear to be starting Jan/Feb though. Sadly the DB class doesn't look like it's going to be re-run this time around, I would have thought that was a keeper.
 
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