Earlier quoted context omitted.
I love Paradigms of Artificial Intelligence by Peter Norvig much more than AIMA, which I found excessively encyclopedic and shallow. While some will argue it is dated, I think it presents many timeless ideas that will get in vogue soon with little tweaks to their inference schemes. Same for The Art of Prolog.
It's Paradigms of Artificial Intelligence Programming (PAIP) http://norvig.com/paip.html AIMA provides better introduction for wider area of subjects but PAIP is one of most elegant and timeless books for both programming and old school AI.
Ask HN: Best books on AI?
91–95 of 95 posts
Re: Ask HN: Best books on AI?
#92Sometimes its best to answer a question with a question. Are you simply curious or is there something more pressing? For example, do you want some light reading or have you perhaps been asked to implement machine learning for your company? Most answers here assume you want to jump into the ML swamp and start analyzing your trove of "big data" ASAP. But is that so?
Re: Ask HN: Best books on AI?
#93Any recommendations for a book focused on AI in game development?
Re: Ask HN: Best books on AI?
#94You cannot really go practical in AI without academic rigor. You can do recipes of what's already been done using a TensorFlow book, but that's how far one can go. If one is serious in getting in AI today, a great way to do is read the following books, in order: 1. AI: A Modern Approach by Stuart Russell and Peter Norvig. 2. Deep Learning by Ian Goodfellow and Yoshua Bengio. It is amazing how approachable both books…
Sutton & Barto's Reinforment Learning complete this triumvirate https://webdocs.cs.ualberta.ca/~sutton/book/the-book-2nd.htm... David Silver's Reinforcement Course is based on Sutton & Barto https://www.youtube.com/watch?v=2pWv7GOvuf0