UCB CS189: Introduction to Machine Learning - CS自学指南 #185
giscus[bot]
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Replies: 7 comments 16 replies
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好像2022年春季的课程不再开源autograder和notes了，所以有没有哪位大佬能够提供notes呀 |
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哪个大佬有往年的嘛 没锁住的 |
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能发一下kaggle的链接嘛 |
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作业的pdf文档里一般都会给出对应kaggle链接 |
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春季的是这样的 直接提交csv文件到对应kaggle比赛就能打分 ，至于秋季的就不清楚了 |
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同求往年没锁的课程码 |
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找到一个2023 Spring 的 该课程，https://people.eecs.berkeley.edu/~jrs/189/，游客可以访问屏幕录制，好像比油管上的视频更加清晰 |
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请问有23 spring的autograder 的entrycode吗 |
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spring23的视频：https://www.youtube.com/playlist?list=PLppfe3aWPcD4fthieedXTrE3kQz8rvtJt （偷偷问这是能上传油管的吗🤷 |
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有无大佬有之前的public 的gradescope的激活码啊？最新的2023AU的是E73744，但是有due date，due date之后好像就锁了 |
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sp和fa的版本在内容上有挺大的不同，fa的版本偏理论，难度也较大，具体区别可以参考这个贴子: https://www.reddit.com/r/berkeley/comments/1b67zhw/thoughts_on_fall_cs_189_compared_to_spring_189/ 不过我注意到fa版本的作业似乎没有完全开源，官网中只给出了部分作业的文件，而且也没有答案，如果有同学知道在哪里可以找到这些文件可以分享一下～ |
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推荐Spring的版本，除了手写作业答案都是公开的，视频可以在B站上找到，Coding作业可以在官网下载并在Kaggle上提交（接受late submission），lecture notes (LaTeX) 可以在教授的网站上找到，https://people.eecs.berkeley.edu/~jrs/ 翻到professing并选择你看的学期 |
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本来是发在帖子下面的不小心点成回复了不好意思：） |
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感谢，上面的网站真的很有帮助 |
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请问spring的官网是什么呢，wayback machine上面好像只能找到fall的 |
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spring的官网似乎就是上面的，我也没有发现其他的。作业确实用Jupyter写的，也许可以先学Data100再学这个，应该会很有帮助。 |
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好像kaggle不能late submit了 |
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大佬们，求182的 |
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UCB CS189: Introduction to 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/CS189/
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