<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>数据处理 on AI 实战派 · 从技术到赚钱</title><link>https://guijiagi.com/tags/%E6%95%B0%E6%8D%AE%E5%A4%84%E7%90%86/</link><description>Recent content in 数据处理 on AI 实战派 · 从技术到赚钱</description><generator>Hugo</generator><language>zh-cn</language><copyright>本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权</copyright><lastBuildDate>Sun, 25 Oct 2026 10:54:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/%E6%95%B0%E6%8D%AE%E5%A4%84%E7%90%86/index.xml" rel="self" type="application/rss+xml"/><item><title>表格与数据整理交给 AI：脏数据清洗与口径统一的最小管道</title><link>https://guijiagi.com/posts/2026-10-25-43-ai-data-cleaning-pipeline/</link><pubDate>Sun, 25 Oct 2026 10:54:00 +0800</pubDate><guid>https://guijiagi.com/posts/2026-10-25-43-ai-data-cleaning-pipeline/</guid><description>用 AI 做数据整理的管道方案：格式统一、异常识别、口径对齐、报表生成，告别熬夜对账。</description></item></channel></rss>