Ask HN: Best books on AI?
To iterate on what others said, but what was not emphasized enough from my point of few:<p>AI <i>is</i> academic (as a synonym for 'theoretical' and 'math-intensive'). Once you look beyond purely symbolic AI, which proved to be infeasible as @curuinor pointed out somewhere here, you will need to build up at least basic knowledge in probability theory and linear algebra.<p>The path I'm following at the moment is a quite rigorous one and is outlined here (<a href="http://www.deeplearningweekly.com/pages/open_source_deep_learning_curriculum" rel="nofollow">http://www.deeplearningweekly.com/pages/open_source_deep_lea...</a>).<p>If you've never had any exposure to probability theory or statistics, I recommend having a look at the course "MIT 6.041 Probabilistic Systems Analysis and Applied Probability" taught by John Tsitsiklis at MIT (video lectures are available through YouTube and MIT OpenCourseWare for free). Both the course and Tsitsiklis' book are superb learning materials to get into probabilisitc thinking.<p>Edit: Link was broken. Thanks to @blauditore.