Summary
		n Learning needed for unknown environments, lazy designers n Learning agent = performance element + learning element n For supervised learning, the aim is to find a simple hypothesis approximately consistent with training examples n Decision tree learning using information gain n Learning performance = prediction accuracy measured on test set