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BDMI-2020Spring

教学计划

每周教学总安排:

总体教学安排

教师与助教

Instructor: Zhen Chen、Min Guo

TAs: Rui Xie, Shiyu Huang

目录结构

  • Computing/ Python-算法-数据管理-机器学习材料
  • Logistics/ 签到与团队建设
  • Part1-Schedule/WWn/ 前9周教学安排
  • Part2-Weeks/WWn/ 后9周教学安排,第n次课的课件和参考代码
  • Course-Projects/ 课程实践任务
  • Readings/ 课程课外阅读的论文材料
  • Study-Memo/ 同学们的课程小结(课程小结文件名格式:m-Dayn.md,m为学生编号,n为第n次课,学生编号在网络学堂的课程文件里可以找到)
  • Memo-Summary/ 同学们的课程小结-汇总提纲

语言环境要求:

  • Python3, Jupyter Notebook (Visual Studio Code)
  • Git(Github), Markdown
  • SQL, Tensorflow, Haskell

申请使用GPU

对有GPU使用需要的同学,可以通过这个链接申请使用GPU资源(只限校内访问): http://wiki.icenter.tsinghua.edu.cn/icenterwiki/index.php/AI云

要求:

课程要求:

  • 一门程序语言基础
  • 微积分,线性代数,概率论基础
  • 上课需要自带笔记本电脑

课程相关问题和建议

课程相关问题和建议请在该仓库的Issues下面提出,有老师和助教进行解答。

This course is targeted to general education in a sense, and appropriate for students with lit programming skills with one language.

I would be very grateful if you post your feedback as an issue or pull request in this GitHub.