I feel like I’ve been living under a rock for never hearing anything about Richard Stevens before.
Sadly he passed away back in 1999 but he did wrote some of the best books on network programming. I also been browsing his website, kohala.com, there is still great information worth digging out.
I picked up four of his books, you can find them on amazon pretty cheap. They all look like amazing reads.
Today I got kinda interested in learning more about machine learning. I’ve work with simple neural networks, done a tiny bit of Bayesian networks and nothing with genetic programming so either way it should be pretty fun.
I put together a page on this topic at Sugar Code that has a bunch of books that look promising, plus some of them can be bought for next to nothing.
Also Peteris Krumins has an excellent page with a bunch of online video lectures that I’m going to start working through.
Machine Learning and Artificial Intelligence Video Lectures
Just watch an excellent presentation by Jim Weirich on functional programming and writing a Y combination. I look into this subject quite a bit but this has to be most concise and approachable introduction to lambda calculus I’ve ever seen.
Jim Weirich: Adventures in Functional Programming
I’ve was Googling on how work with mouse events and found these gems.
I’ve put up a perl resource page. Right now it’s mostly just free ebooks you can find listed at perl.org. I’ll try to add a few other resources later tonight.