kannmig

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!)

No, Clozure is correct. OP is referring to Clozure CL, not Rich Hickey's Clojure.

Other great articles on regexes from rsc:

https://swtch.com/~rsc/regexp/regexp1.html

https://swtch.com/~rsc/regexp/regexp2.html

Seems like this is based on Google's own internal code search tooling, something most engineers at Google rely on for every day code-level work. I personally can't even begin to imagine how I'd navigate the gigantic codebase without it.

(I work at Google)

I think OP made the distinction intentional to “show their working”, so to speak.

> A former colleague of mine had a teddy bear on his desk, before you could ask for his advice you had to take the teddy and explain your problem out loud to it.

https://en.m.wikipedia.org/wiki/Rubber_duck_debugging

Steve Losh's post on how to learn Common Lisp is an amazing resource. I encourage people to check it out!

It happens to include many of the books mentioned in the parent post.

Link: http://stevelosh.com/blog/2018/08/a-road-to-common-lisp/

Accompanying HN discussion: https://news.ycombinator.com/item?id=17852194

For those unfamiliar with the term 'nerd sniping' (as was I): https://xkcd.com/356/

Reminds me of the classic SICP quip:

"Programs must be written for people to read, and only incidentally for machines to execute."

Another great exposition on the applicative-order Y combinator can be found at the end of Chapter 9 of The Little Schemer.

It is interesting to contrast with how in Haskell, one can simply define Y as

  Y f = f (Y f)

owing to the fact that it is lazily evaluated.

I personally first learned about the described technique at https://www.artofmanliness.com/articles/fall-asleep-fast/, where the material seems to be better presented. Hope more people can benefit.