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Interesting - can you describe the curriculum? Or highlight some of the differences of view that you perceived?

• Animats 12y ago
  The machine learning course, given at Hacker Dojo about three years ago, was right out of Andrew Ng's videos, pre-Coursera, with his awful blackboard handwriting. Support vector machines, that sort of thing. Not enough graphics showing what all those functions are doing. Most of that stuff has a clear graphical representation, but in Ng's original course, you're supposed to imagine it. A Stanford MSCS in the mid-1980s was heavy on mathematical logic. You could get through the whole curriculum without doing a floating point operation. I got discrete math, number theory (Knuth, vol. 2), proof of correctness, formal logic, proof of correctness, theory of programming languages, etc. Some graphics work, on a Xerox Alto. Dr. John's Mystery Hour, "Epistemological Problems in Artificial Intelligence", from John McCarthy. (He would describe a problem informally, then a miracle occurs, and it's in a predicate calculus notation where you just turn the crank to get the answer. It hadn't yet hit the logicians that getting the problem into the formalism is the hard part. Automatic symbolic math was in its infancy back then.)