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"You don't have to be perfect to be amazing."
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.
成功的衡量标准不仅仅是利润,还有积极的影响。
Success is not final, failure is not fatal: It is the courage to continue that counts.