如果一种教义不是费解的,它就必须是含糊的,如果它既不费解也不含糊,它就必须是无法验证的。
"In machine learning, the goal is not just to fit the data, but to find a model that captures the underlying structure of the data."
计算的目的是洞察,而不是数字。