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I can't find any list of prerequisites for this class, though their FAQ https://www.ai-class.com/registration/faq implies that there are some. Does anyone know if this class is noob friendly? (as in someone with no CS or programming background)

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Doubt it's going to be too hard but maybe not noob friendly. The "basic" level of the class at least should be accessible for the most part. It will cover some probability theory in the beginning so if you have a grasp of that already but forgot it this will help. It looks like machine learning is going to be a larger focus than in the AI class I took so you will need to know linear algebra as well.

Here: http://robots.stanford.edu/cs221/ is the outline with the prereqs and the schedule of topics.

Here are some suggestions of preparatory material:

http://www.aiqus.com/questions/4/hey-guys-what-are-some-prer...

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