© Franz Kurfess Learning 54 Computational Learning Theory  relies on methods and techniques from theoretical computer science, statistics, and AI  used for the formal analysis of learning algorithms  basic principles  if a hypothesis is seriously wrong, it will most likely generate a false prediction even for small numbers of examples  if a hypothesis is consistent with a reasonably large number of examples, one can assume that most likely it is quite good, or probably approximately correct
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