you can also see a prior version of the class here: http://www.stanford.edu/class/cs221/
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.
Aside from that, I think it's just that hackers have always been fascinated with AI. And lot of what we know as "hacker culture" to this day, dates back to people and events that happened in the AI research group at MIT, decades ago.
The second reason (more specific) is that I need to use an ontology (stored as a database) which is basically another topic of AI.
AI has emerged as one of the most impactful disciplines in science and technology. Google, for example, is massively run on AI.
I expect that when there is an Oracle of AI, it too will lose its lustre.
Can anybody advise some books or online resources that one can use for 2 month to prepare himself for the course? Thanks.
EDIT: I work in an interest rate risk management group for a major US bank. I can attest that there is definitely more room for good software in this space.
This place is filled with awesome. Maybe you know?
I'm curious about any enrolment caps and what's next for this approach.
EDIT: missing word.