分享一篇很有趣的 文章。用梯度提升的方法来改进 ARIMA，AutoARIMA 先拿到起始参数，Boosting 过程和普通 GBM 一样都是用残差代替梯度计算。角度倒是听新颖的， 就是听着可能速度有点慢，而且不能确定序列角度来说 Boosting 是否真的有意义，作者在 Kaggle 去年的 M4 上做了些实验，看着还行，有点意思。轮子在这里：https://github.com/tblume1992/ThymeBoost
BY Data Science Archive
Bitcoin mining is the process of adding new transactions to the Bitcoin blockchain. It’s a tough job. People who choose to mine Bitcoin use a process called proof of work, deploying computers in a race to solve mathematical puzzles that verify transactions.To entice miners to keep racing to solve the puzzles and support the overall system, the Bitcoin code rewards miners with new Bitcoins. “This is how new coins are created” and new transactions are added to the blockchain, says Okoro.
At a time when the Indian stock market is peaking and has rallied immensely compared to global markets, there are companies that have not performed in the last 10 years. These are definitely a minor portion of the market considering there are hundreds of stocks that have turned multibagger since 2020. What went wrong with these stocks? Reasons vary from corporate governance, sectoral weakness, company specific and so on. But the more important question is, are these stocks worth buying?
Data Science Archive from vn