17 December 2008

Working through my reading list. You might infer that I'm a bit behind because this review is about a book published in September of 2007.

You'd be correct.

"Programming Collective Intelligence" is astonishingly clear and concise in the examples, and a brilliant introduction to the foundations of a lot of fields of study. A well presented discussion on many of the key items in the AI/algorithm world. Why is this so worth repeating? Because these concepts – genetic algorithms/ AI / optimization, etc, are NOT common nor are they simple. Anybody who manages to make them appear so is worth of praise. The examples are further interesting because they're written in Python, which is as simple as a language can get. (Digression: Python 3.0's out! How come I didn't see a flurry of news? How come there was no ball drop in Times Square? I'm excited, and proportionately confused by some people's reactions, like this one. Get your copy while it's hot!

The book is sort of the first rung of knowledge on a whole gamut of complex topics, but that's OK because these topics become approachable only once you've gotten the introductory tour. Finding that "tour", the source for the inevitable epiphany, is what's so hard about these concepts. It's even further difficult because it's not like there's a lot of mainstream thinking going on here and these concepts just represent a slight tangent on what you're already dealing with. Anything but. People who know why they want to use something like JBoss Rules already knew it. You'll notice there's no good "sales" rhetoric on the JBoss website. It's the chicken and egg problem. Understanding the concepts in this book is key to caring about, and eventually understanding, things like JBoss Rules.

All in all, a very worthy read. If nothing else, it's a good refresher.