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Big Data and Machine Intelligence, Autumn 2020.

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Name		Name	Last commit message	Last commit date
Latest commit History 1,915 Commits
Computing		Computing
Course-Projects		Course-Projects
DataSystem		DataSystem
DeepLearning		DeepLearning
Logistics		Logistics
Memos		Memos
Readings		Readings
Schedule		Schedule
.gitignore		.gitignore
Course-History.md		Course-History.md
README.md		README.md
iCenter- GitLab.md		iCenter- GitLab.md

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BDMI-2020 Autumn

教学计划

每周教学总安排： 教学安排-2020A

教师与助教

Instructor: Zhen Chen、Min Guo

TAs: Yu Zheng, Xu Wang

目录结构

Computing/ Python-算法-机器学习材料
Logistics/ 签到与团队建设
DataSystem/ 数据系统-数据管理与SQL
DeepLearning/ 深度学习-机器智能与TensorFlow
Schedule 教学安排
- Part1/WWn/ WW1-WW9，前9周教学安排
- Part2/WWn/ WW10-WW15，后9周教学安排
Course-Projects/ 课程实践任务
Readings/ 课程课外阅读的论文材料
Memos
- Study-Memo/ 课程小结
- Memo-Summary/ 课程小结-汇总提纲

程序语言学习：

Python3, Jupyter Notebook (Visual Studio Code)
SQL, DBeaver
TensorFlow

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

工具使用

Git(Github),
Markdown (Typora)

课程相关问题和建议

课程相关问题和建议可在该仓库的Issues下面提出，教师和助教会进行回应解答。

致谢

感谢腾讯云钛机器学习平台提供的算力支持。

Notice

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

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