What is a good first-implementation for learning machine learning?
Neural nets may be the easiest thing to implement first, and they're fairly thoroughly covered throughout literature.
I find learning new topics comes best with an easy implementation to code to get the idea.  This is how I learned genetic algorithms and genetic programming.  What would be some good introductory programs to write to get started with machine learning?
Preferably, let any referenced resources be accessible online so the community can benefit