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I'm planning to read PAIP over the upcoming weekend as a follow-up, I've already got it sitting here.

I know next to nothing about AI, beyond the basics of RNNs, so I'm hoping to learn a lot.

The material handled in PAIP mostly focuses on classical symbolic AI, as opposed to the modern ML-based AI that you refer to in RNNs.

(Not to discourage you from reading the book, of course!)

It's AI in the rule-based GOFAI paradigm rather than modern neural-network-based ML.

Treat it as a review of some of the historical classics of computer science and you can't go wrong.

You may need more than a weekend!

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