Big hardware still matters, but only after you have considered a bunch of other factors. 교훈은 이제 막 시작하는 단계라면 하드웨어는 중요하지 않다는 것입니다. Focus on learning with small datasets that fit in memory, such as those from the UCI Machine Learning Repository.