Hi everyone. My approach to writing articles is, once I've got a list of ideas, to write some sketchy text to see what flows into what. (It's the only way I can find of writing that doesn't result in lots of forward references and other problems.) So it's EMPHATICALLY JUST A SKETCH (THAT WILL BE FLESHED OUT) at the moment. However, does anyone think there are any other basic machine learning concepts that will be relevant to the El Nino stuff that ought to go in this "intro to fundamental concepts" article? I can't think of any myself, but I'd welcome any input.