UCB CS126: probability theory - CS自学指南 #130
giscus[bot]
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Replies: 13 comments 18 replies
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这个课程好像没有视频哈，请问是看的notes吗 |
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是的 |
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请问你是已经学过概率论后再重新学一遍还是？ |
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请问有2022spring的答案吗？ |
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同问 |
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请问这本教材的答案有吗？这上面的习题我都想做做试试。 |
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推荐 MIT : 6.041SC，可以用来代替 cs70 的概率论部分。因为 cs70 的概率论一来有些部分讲的不太清晰，二来有些部分过于简短。 |
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cs127如何呢，我注意到127的课程主页是开源了recording的 |
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可以参考这个帖子： |
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127上的差不多了，和帖子里很多评论一样，我也觉得很值得一上 |
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请问cs127的课程主页是这个吗https://www2.eecs.berkeley.edu/Courses/EE127/ |
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您好请问这个课您的github中的notes是按上课顺序排列好的嘛 |
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有个疑问，本课介绍编程语言是python，怎么我找了一圈没找到编程作业呢？ |
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在 labs 里可以看到编程作业，里面都是jupyter notebook |
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jupyter notebook的中文路径问题请问是怎么解决的呢？我用julia的时候总是自动就下载到c盘去了 |
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这门概率论是偏进阶的，推荐一下如果要入门概率论，可以看哈佛的stat110，我觉得教的也相当不错 |
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刚ai给推荐了，就看见你的推荐😄 |
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考虑到没有视频，我觉得随机过程的部分这门课 随机过程（2016年）台湾交通大学陈伯宁 （https://www.bilibili.com/video/BV12K411K76U/） 能够起到比较好的互补效果，我自己上过觉得老师对数学概念的引出感觉很好，如果可以我就加一下 |
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课本Probability in Electrical Engineering and Computer Science有中译本，名叫EECS应用概率论，译者黄隆波，可以在zlib里找到。 |
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求一份电子版的 我在zlib里没找到中文版 谢谢 |
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通过网盘分享的文件：EECS应用概率论.pdf |
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概率论最好的还地是MIT的6.041SC | Fall 2013 | Undergraduate: https://ocw.mit.edu/courses/6-041sc-probabilistic-systems-analysis-and-applied-probability-fall-2013/. 一路follow下来, 真的很轻松, 当然这里我说的轻松指得是logistic上很轻松, content上该不会的还是不会. CS126最新的课程用的教材就是6.041SC的老师写的, 再次让我吹下Tsitsiklis教授, 讲得真好,听得直让人跺脚脚. 集帅(美)们, 直接冲! 一个缺点可能是这门课发布时间在2013年, hw的内容有点不够贴近现代(没有ML方面的内容) |
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问问uu 我看6.041sc是概率论导论是不是只是入门课 没有ucb126讲得深 是学了这个就够了的吗 |
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过了好久...有点忘了. 不过6.041sc应该是那种第一次学概率论看的, 内容很基础(作业不是). ucb126不知道. |
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最新的是这个: https://eecs127.github.io/index.html 但是已经404
可以用wayback machine找到之前的copy:
https://web.archive.org/web/20240429203928/https://eecs127.github.io/index.html
里面的discussion和homework以及都能下载
视频可以看2022年录的, 是和2024的CS127同一个instructor, YouTube链接:
https://www.youtube.com/playlist?list=PLnocShPlK-Fsj9puVGWJ1byL-WeKW1CMb
其实她的lecture notes已经写的很清楚了, 看完能直接做题的那种:
https://web.archive.org/web/20240429204117/https://eecs127.github.io/assets/notes/eecs127_reader.pdf
Liu Ruiheng ***@***.***> 于2024年6月27日周四 12:23写道：
… 请问cs127的课程主页是这个吗https://www2.eecs.berkeley.edu/Courses/EE127/
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竟然有 wayback machine 这种东西, 现在很多公开课都封闭了, 感觉可以用这个 |
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这门课好像也要UCB账号才能看了欸，请问有没有archive的资源或者相同难度平替的课？ |
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我个人觉得 http://prob140.org/ 不错（也是UCB的课），其中的textbook http://prob140.org/textbook 也可以作为学习 CS126 时的参考 |
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关于课程资源，可以参考PKUFlyingPig的Github库，这是 2021 Fall 的版本；我上传了2023 Fall 的版本，并做了一个schedule PDF文件。视频似乎从来没有公开过，只能看notes学了。 |
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我fork一下嘻嘻 |
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UCB CS126: probability theory - CS自学指南
CS自学指南
https://csdiy.wiki/%E6%95%B0%E5%AD%A6%E8%BF%9B%E9%98%B6/CS126/
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