Date Science, or Machine Learning, is a scary topic. It's hard to know where to get started. It's hard to even find a good definition of what it does and what you have to do. As I've given a few ad hoc presentations on Machine Learning (and though focused on implementing it with Azure, the basics are applicable to other platforms) I thought I'd take my random notes and present them as a primer. You don't need to be a Rocket Scientist to get started, but having a basic understanding of Linear Algebra will be helpful.