Machine learning can be an intimidating topic. Rather than intimidate, this should exhilarate; sure this stuff is science, but it's science you can do on your laptop. We'll discuss how machine learning is actually an accessible topic. There is an interesting set of tools you can play with; there might still be some rocket science involved, but we can treat a fair amount of the truly fancy math as a black box. We'll explore gathering a training set, turning blobs of text into usable data, training models, and the magic that is scikit-learn. We'll use this amazing amount of processing power, data, and science to separate Hacker News articles into buckets of stuff I want to read and stuff I want to pretend doesn't exist. Attendees should learn enough to start experimenting with machine learning themselves.