Stanford AI Class this Semester for Free
i'm absolutely loving the class so far, i've found it very helpful to follow the videos along with the AI:AMA book.
Me too. A few of the questions are framed badly and don't give you all the necessary information, but I guess if I can spot that I must be learning something
So far it's been pitched just right for me - lots of "uh-huh" and "ah, I see. Awesome!" moments, and very few "what the hell did he just say?"
When I first looked at the syllabus and exercises for the real Stanford class, I was a bit worried about implementing A* as the first week's homework. After doing the online homework, I'm a little disappointed and very tempted to do the Stanford pacman homework as well. Which just goes to show how well paced the course is so far, I guess!
I don't know much about AI, and it's been interesting to compare a modern Stanford(ish) "Intro to AI" course to the "Intro to AI and KBS" I did many years ago in my time at (a lesser) university.
So far it's been pitched just right for me - lots of "uh-huh" and "ah, I see. Awesome!" moments, and very few "what the hell did he just say?"
When I first looked at the syllabus and exercises for the real Stanford class, I was a bit worried about implementing A* as the first week's homework. After doing the online homework, I'm a little disappointed and very tempted to do the Stanford pacman homework as well. Which just goes to show how well paced the course is so far, I guess!
I don't know much about AI, and it's been interesting to compare a modern Stanford(ish) "Intro to AI" course to the "Intro to AI and KBS" I did many years ago in my time at (a lesser) university.
For me the course is running pretty great I remember trying to implement a pathfinding algorithm in my sidescroller and having a hard time with it. I wish I had taken this class before having attempted it, as it would've made things magnificently easier. But oh well, at least I won't have as much trouble now XD
Great course I think. I hope it can only get better!
Great course I think. I hope it can only get better!
I am really happy about how things go so far. They concentrate on the good stuff so far and don't waste time on things like history and bla bla. That was just given as suggested reading. Also Peter's explanations about Uniform vs A* search was amazing.
The cool thing was I finished the book AI Game Programming by Example right before I started the course. I finished it in the sense, I did all the code too. It made it much easier for me being in this course now. When they talk about agents, I am not like woooo what is that woow, my goood, you know ... I have already done that and I feel comfortable instead of going nuts about it. That experience allows me now to concentrate on the real stuff in the course.
The cool thing was I finished the book AI Game Programming by Example right before I started the course. I finished it in the sense, I did all the code too. It made it much easier for me being in this course now. When they talk about agents, I am not like woooo what is that woow, my goood, you know ... I have already done that and I feel comfortable instead of going nuts about it. That experience allows me now to concentrate on the real stuff in the course.
Can anyone explain how the A* homework question about the hueristic is "yes"? I said it isn't because although the pieces surronding the goal are correct, there is no way the values set on the rest of the board are guesses to the goal.
Other than that the course and homework is going very well.
Other than that the course and homework is going very well.
Can anyone explain how the A* homework question about the hueristic is "yes"? I said it isn't because although the pieces surronding the goal are correct, there is no way the values set on the rest of the board are guesses to the goal.
Other than that the course and homework is going very well.
Bah nevermind I figured it out looking back through my notes for the 100th time. The hueristic is admissiable as long as it doesn't over estimate.
Some great lectures notes:
Lecture #01: https://docs.google.com/document/d/1tF3TJ98uysJHKasFjBidBolhQBNLhz9H0sx28D6Fku0/edit?hl=en_US
Lecture #02: https://docs.google.com/document/d/1eH5ZqtpOpVsURqelWEydTesFKInqXJVXLQElMUGElPA/edit?hl=en_US
Lecture #01: https://docs.google.com/document/d/1tF3TJ98uysJHKasFjBidBolhQBNLhz9H0sx28D6Fku0/edit?hl=en_US
Lecture #02: https://docs.google.com/document/d/1eH5ZqtpOpVsURqelWEydTesFKInqXJVXLQElMUGElPA/edit?hl=en_US
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