1. Brush up on linear algebra (matrix and vector arithmetic, etc) 2. Draw the rest of the fucking owl
i am now applying to current yc batch.
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1. Brush up on linear algebra (matrix and vector arithmetic, etc) 2. Draw the rest of the fucking owl
i am now applying to current yc batch.
I want to study game AI but I don’t think I have found much material yet. I guess it is too niche now
I think that is "first principals of AI". Like, what does it even mean when we ask an algorithm to "learn" from data?
If you don't have a solid background in math, then that's what you should improve upon (calculus, linear algebra, discrete math, probability theory, information theory). Some of the books you mention do cover this at the beginning, but most people take separate courses on these topics at University, with lots of homework, etc.
Also, the first book on your list is the classic textbook by Norvig, but I don't think it's actually very good. I remember reading it in my college AI course 25 years ago and it was painful back then (anybody remember "wumpus"?). It's a big book that covers too much, it's like printing out a lot of Wikipedia pages. You're better off finding books with smaller scope that focus on something you actually care about / is relevant to the way the field has developed.
Looks like the course has turned into a multi-course "specialization" and I have no idea if any of it is the aame as the course I did. But it might be a place to start.