The study of learning algorithms must consider both the statistical and computational aspects of learning.
You can't use up creativity. The more you use, the more you have.
As in geometry the most natural way of beginning is from a mathematical point, so is the same method in observations and natural history the most genuine, simple, and instructive.
A good abstraction is one that emphasizes the essential and suppresses the irrelevant.
