<?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>课程 on Colommar Blog</title><link>https://www.colommar.asia/ml-notes/%E5%85%B6%E4%BB%96%E8%B5%84%E6%96%99/%E8%AF%BE%E7%A8%8B/</link><description>Recent content in 课程 on Colommar Blog</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Wed, 08 Jul 2026 07:33:44 +0000</lastBuildDate><atom:link href="https://www.colommar.asia/ml-notes/%E5%85%B6%E4%BB%96%E8%B5%84%E6%96%99/%E8%AF%BE%E7%A8%8B/index.xml" rel="self" type="application/rss+xml"/><item><title>01. Machine Learning. Coursera. Andrew Ng</title><link>https://www.colommar.asia/ml-notes/%E5%85%B6%E4%BB%96%E8%B5%84%E6%96%99/%E8%AF%BE%E7%A8%8B/01-machine-learning-coursera-andrew-ng/</link><pubDate>Wed, 08 Jul 2026 07:33:44 +0000</pubDate><guid>https://www.colommar.asia/ml-notes/%E5%85%B6%E4%BB%96%E8%B5%84%E6%96%99/%E8%AF%BE%E7%A8%8B/01-machine-learning-coursera-andrew-ng/</guid><description>课程名称：Machine Learning 课程来源：https://www.coursera.org/ 课程地址：https://www.coursera.org/learn/machine learning 讲师：Andrew Ng Week 1 Introduction Welcome to Machine Learning! We</description></item><item><title>02. Python3入门机器学习经典算法与应用.liuyubobobo</title><link>https://www.colommar.asia/ml-notes/%E5%85%B6%E4%BB%96%E8%B5%84%E6%96%99/%E8%AF%BE%E7%A8%8B/02-python3%E5%85%A5%E9%97%A8%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%BB%8F%E5%85%B8%E7%AE%97%E6%B3%95%E4%B8%8E%E5%BA%94%E7%94%A8-liuyubobobo/</link><pubDate>Wed, 08 Jul 2026 07:33:44 +0000</pubDate><guid>https://www.colommar.asia/ml-notes/%E5%85%B6%E4%BB%96%E8%B5%84%E6%96%99/%E8%AF%BE%E7%A8%8B/02-python3%E5%85%A5%E9%97%A8%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%BB%8F%E5%85%B8%E7%AE%97%E6%B3%95%E4%B8%8E%E5%BA%94%E7%94%A8-liuyubobobo/</guid><description>课程名称：Python3入门机器学习经典算法与应用 课程来源：https://coding.imooc.com/ 课程地址：https://coding.imooc.com/class/chapter/169.html 讲师：liuyubobobo 第1章 欢迎来到 Python3 玩转机器学习 1 1 什么是机器学习 1 2 课程涵盖的</description></item></channel></rss>