Geek Guide: Machine Learning with Python

I first heard the term "machine learning" a few years ago, and to be honest, I basically ignored it that time. I knew that it was a powerful technique, and I knew that it was in vogue, but I didn't know what it really was-- what problems it was designed to solve, how it solved them and how it related to the other sorts of issues I was working on in my professional (consulting) life and in my graduate-school research. But in the past few years, machine learning has become a topic that most will avoid at their professional peril. Despite the scary-sounding name, the ideas behind machine learning aren't that difficult to understand. Moreover, a great deal of open-source software makes it possible for anyone to use machine learning in their own work or research.