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作为轻量级 IDE,Spyder 是数据分析的一大利器。升级到 4.1.1 版本后,酷炫的黑色主题外加 Kite 辅助参数补全,较之前版本又有了很大的改进,可谓更加流畅、优雅了。当然,一个强大的 IDE 怎能少得了快捷键的加持?
近期学习了 coursera 上 Andrew Ng 的机器学习课程[1]。总体而言,该课程是入门机器学习的绝佳教程,整体难度不大,但概括了机器学习中很多基础的概念。但弊端在于跳过了过多数学推导,导致有些问题讲解得不是很清楚。特别是在第5周课程 Neural Networks: Learning 中,虽讲解了 BP 算法的轮廓和执行过程,但没有计算图的辅助和数学公式的推导就很难理解,且出现了较多的
https://yimsun97.github.io/google3e5a2e203530b903.html
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https://yimsun97.github.io/2020/04/04/bat%E6%89%B9%E5%A4%84%E7%90%86%E6%80%BB%E7%BB%93/
bat 批处理脚本是 Windows 系统上用于批量执行任务的脚本,其后缀名为 .bat。利用批处理文件与“胶水语言” Python 相结合,能解决很多情况下程序的自动化运行问题,为学习、科研、工作上带来很大的便利。
https://yimsun97.github.io/2019/09/25/%E5%86%99%E5%9C%A8%E5%BC%80%E5%A4%B4/
“万事开头难。”历时3天,终于把个人博客捣鼓了出来。我采用的是GitHub+Hexo的搭建方式,NexT.Gemini主题,Gitalk评论插件。
本文主要解决Win10系统上GPU版PyTorch的环境配置问题。
https://yimsun97.github.io/2019/09/18/hello-world/
Welcome to Hexo! This is your very first post. Check documentation for more info. If you get any problems when using Hexo, you can find the answer in troubleshooting or you can ask me on GitHub. Quick
https://yimsun97.github.io/welcome.html
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pandas 中的 read_csv 方法是一个十分强大的读入数据的方法,官网的 read_csv 的参数列表如下。看这些参数的解释,都能十分详细地了解该方法的用法,网络上也有很多中文版的参数翻译。但是,对于基本的应用情景,缺乏比较到位的解释,导致每次导入数据时都要看文档,试错数次才能正确读入数据,降低了数据分析的效率。本文旨在通过简单的例子,对该方法的具体应用做一个整体的总结和分析,以期覆盖常
在用 Beamer 制作幻灯片的过程中,如果页数或者图片过多,往往造成 LaTeX 编译速度慢的问题。此时,如果能够分文件进行编译查看效果,最后插入到主文件中编译,制作幻灯片的效率势必大大提高。本文主要介绍Beamer制作幻灯片时分文件编译的方法。
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