Wrap your Python skills around this simple project to learn about web programming and the Spotify API.

已经非常接近真实值了，如果继续微调，就可以无限接近真实值，虽然一般无法求得最优解，但现实中只是误差可以接受就可以了。通过现有的数据或资料，称为样本，通过尝试求解参数（局部最优解）的过程，就是机器学习的核心内容。误差值是用来控制每次调整参数的幅度。

打开交易图表，堆上十个技术指标，然后对着屏幕发呆不知道下一步怎么操作——这场景对交易员来说太熟悉了。如果把历史数据丢给计算机，告诉它“去试错”。赚了有奖励，亏了有惩罚。让它在不断的尝试和失败中学习，最终迭代出一个不说完美、但至少能逻辑自洽的交易策略。

In a detailed engineering post, Yelp shared how it built a scalable and cost-efficient pipeline for processing Amazon S3 ...

Don't prioritize your tasks by what will take the most time—try choosing what will have the biggest impact. That's what the Most Important Task (MIT) method involves: rather than thinking of specific ...