在機(jī)器學(xué)習(xí)中，偏差和方差之間的權(quán)衡對(duì)于實(shí)現(xiàn)良好的泛化至關(guān)重要。
In machine learning, the trade-off between bias and variance is crucial for achieving good generalization.
我總是努力讓我的音樂(lè)保持真實(shí)，因?yàn)檫@才是能引起人們共鳴的東西。
【譯文】愛(ài)好學(xué)習(xí)的人如同禾苗稻谷一樣都是有用的，不愛(ài)學(xué)習(xí)的人則像蒿草一樣沒(méi)有什么用處，只配當(dāng)柴火來(lái)燒。
"La literatura es el último refugio de la humanidad en un mundo cada vez más deshumanizado."
Sustainability isn't just about planting trees—it's about planting the right trees in the right places for the right reasons.
Ambition leads me not only farther than any other man has been before me, but as far as I think it possible for man to go.
量子算法有可能徹底改變密碼學(xué)和材料科學(xué)等領(lǐng)域。