Stanford CS229: Machine Learning - CS自学指南 #172
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Replies: 10 comments 12 replies
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NJU蒋炎岩的OS课来的 |
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uu，怎么讲？JYY有提到这门课吗？ |
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现在这门课的授课老师暂时也是CS229M的Tengyu Ma |
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貌似cs229的资料更新了 |
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Some resources could be found in this repo: https://github.com/maxim5/cs229-2018-autumn, including the homework that aren't public now. |
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感觉这个数学不是很难，把统计学习方法看懂后上起来很轻松 |
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你指的统计学习方法是哪本书啊 |
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李航 统计学习方法。推导很详细 |
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课程网站404了，有人有最新的网址吗 |
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将网址最后的syllabus.html去掉后能打开了 |
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感谢 |
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想问问可以用他的gradescope吗 |
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原版的note里边有大量的引导内容，虽然方便理解但是在做problem set的时候复习起来会比较麻烦。我自己做了一个精简版的笔记（基于Obsidian)，有需要的朋友们可以到我的github里边拿: |
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请问一下你们都是学的cs229哪一期的课程呀，我看已经往后开了好多期现在已经到25-summer了，不知道应该选哪一版的来学 |
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我看的是2018还是19的忘记了，当时是因为这两个版本资源比较多 |
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这一版的好像很古早了，还是用Octave和Matlab的，可以直接学最新的版本吗（不是吴恩达老师教的，25-summer）最新版课程的讲义 |
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不好意思啊好像回错地方了，想回复的是上面的https://see.stanford.edu/Course/CS229这个链接，这个比较古早 |
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see里面的内容，视频在油管上的上传时间是2008年...完全没有必要看 |
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同学你找到25版的作业资源了吗 |
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最近有童鞋在学这门课么，我正在完成Problem Set #1，感到痛苦。。。。 |
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Stanford CS229: Machine Learning - CS自学指南
CS自学指南
https://csdiy.wiki/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0/CS229/
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