It's considerable more focused in scope, presenting the mathematics behind some of the more popular algorithms extensively used in machine learning, which is a subset of artificial intelligence. The course starts off pretty slow, but quickly gains speed and momentum. By the end, you should be fairly comfortable with clustering and classification/regression, among other topics. The lecture notes are also fantastic.
Stanford CS majors who take the AI track are required to take both CS 229 and this course, CS 221, so it definitely presents useful materials and concepts.
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This reminds me of CS229, of which there's an online version: http://www.youtube.com/watch?v=UzxYlbK2c7E
It's considerable more focused in scope, presenting the mathematics behind some of the more popular algorithms extensively used in machine learning, which is a subset of artificial intelligence. The course starts off pretty slow, but quickly gains speed and momentum. By the end, you should be fairly comfortable with clustering and classification/regression, among other topics. The lecture notes are also fantastic.
Stanford CS majors who take the AI track are required to take both CS 229 and this course, CS 221, so it definitely presents useful materials and concepts.
Yes this one is quite comprehensible too. Thanks for the link. Any other links you may suggest?