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The best way to reduce costs is to not have them in the first place.

In the context of computational learning, the concept of 'probably approximately correct' (PAC) learning provides a framework for understanding the efficiency and feasibility of learning algorithms.

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"You don't have to be perfect to be amazing."

Learning is any change in a system that produces a more or less permanent change in its capacity for adapting to its environment.

The human mind is designed to seek out and find evidence that confirms what it already believes.