Big Data and Machine Intelligence, Spring 2021.
每周教学总安排： 教学安排-2021S
TAs: Zefang Zong、Yiyi Pan
- 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
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- Part1/WWn/ WW1-WW9，前9周教学安排
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- 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
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- Study-Memo/ 课程小结
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- Memo-Summary/ 课程小结-汇总提纲
- Python3, Jupyter Notebook (Visual Studio Code)
- TensorFlow2/Scikit-Learn
- 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
- Git(Github),
- Markdown (Typora)
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。
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.