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Seconded. It's got some minor errors* and omissions, but after reading it for the concepts, I've found other data mining / machine learning books much easier to
by silentbicycle 16y ago
Seconded. It's got some minor errors* and omissions, but after reading it for the concepts, I've found other data mining / machine learning books much easier to follow. The explanations are usually pretty good.
* I've been doing the exercises in Lua, and got stuck on one of them - the listed algorithm (IIRC) erroneously ended with "1 - num/denom" rather than "num/denom". It's listed correctly earlier. (I can look up the specifics later, I don't have the book with me.)
- ralphc 16y agoOff and on I've been doing the exercises and examples in Clojure, and it's a little difficult because the Python examples seem so imperative to me. It's been a challenge turning them into functional code, there's a couple of places where I go over a list twice when I probably should be able to get all I need with one pass, and of course when I have to resort to using an atom or ref I feel a little dirty.
- deleted 16y ago[deleted]