A beginners guide to machine learning from DSC. Links to some interesting resources. Not really about machine learning, or anything close to what we think of as learning. But rather, how to use focused analytical methods, mostly against very precise and accurate data, to find patterns. We already do that with our eyes and other sensors. But then we convert the resulting pattern recognition to actions further influenced by any number of past learning and experiences. Turns out the latter is not very easy to generalize . It can be used to do some very impressive and even useful things. But it is rarely in deep context. Much work still to be done there.