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Big Data and Machine Intelligence Course in Autumn 2019.

Home Page: http://www.icenter.tsinghua.edu.cn/labs/ai_lab/

Python 0.61% Haskell 0.14% HTML 0.01% Jupyter Notebook 99.24%

bdmi-2019a's Introduction

BDMI-2019A

教学计划

https://github.com/saturn-lab/BDMI-2019A/wiki

教师与助教

Instructors: Zhen Chen, Xin Lu, Min Guo

TAs: Rui Xie, Shiyu Huang, Chen Gao, Shuchang Xu

目录结构

  • Computing/ 计算基础与python学习
  • ML-BD-Algo 算法-数据管理-机器学习材料（思路）
  • Weeks/WWn/ 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)

语言环境要求：

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

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。

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：

  • 有一定算法、数据结构基础
  • 有微积分，线性代数，概率论基础
  • 上课需要自带笔记本电脑
  • 有一定数据库基础

bdmi-2019a's People

Contributors

zhenchen3419 avatar liuyihao18 avatar eroteek avatar elchead avatar zy-zhao17 avatar fujisawakazuhi avatar thutzr avatar sodargreen avatar lander-hatsune avatar methioninehistidine avatar primus2019 avatar godfreyxhl avatar lucky-h6 avatar iscopyman avatar cdyyyy avatar ykchong45 avatar daniel-gong avatar liujiaxi17 avatar thu-xyw avatar hanhg16 avatar thurooky avatar xc-li17 avatar weilin111 avatar spinningk avatar fwx17 avatar suuuwu avatar xuzhongzhzhzh avatar yuhui1038 avatar lukeming-tsinghua avatar circle2019 avatar

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