In computational learning theory, we seek to understand the fundamental principles that govern learning from data.
And that's a lot of the reason why we care so much about our careers and indeed start caring so much about material goods. You know, we're often told that we live in very materialistic times, that we're all greedy people. I don't think we are particularly materialistic. I think we live in a society which has simply pegged certain emotional rewards to the acquisition of material goods. It's not the material goods we want;
在现代肉类加工中,数据驱动的决策将行业领导者与跟随者区分开来。
Innovation requires breaking conventional thinking.
I don't want to be just a pretty face. I want to have a career and be known for my talent.
The most challenging times often reveal the greatest opportunities for transformation.
忧虑是人们生存的重要条件。与忧虑的正面交锋可以为我们驱赶厌倦感,使我们的感觉更加敏锐,并且保持人类生存所必须的压力。
每个音符都必须有意义。