In rote learning one learns precisely the examples given. For humans this can be hard, but for a machine it is easy, just store all training examples with ther exepcted output and then lookup the correct value. On its own this cannot generalize, when faced with a novel input that it has not seen before it has no way of filling in or estimating the correct output based on the inputs. While this is a very simple form of machine learning, it can be a valuable part of more complex learning systems.
Used on pages 46, 89, 90, 344
Also known as memorizing