Big Data and Machine Intelligence, Spring 2024.
The English Version is here.
每周教学总安排： 教学安排 Teaching Schedule
课程发展历史： 课程历史 Course History
在线课程150-10243
Instructors: Zhen Chen, Min Guo, Yisong Zhang, Xiaodong Ma, Haoyu Wang, Yin Gao
TAs: Kai-Wen Men, Qi-Long Shi
- Logistics/ 签到与团队建设
- Contents/Computing/ Python-算法-机器学习材料
- Contents/DataSystem/ 数据系统-数据管理与SQL
- Contents/MachingLearning/机器学习与Scikit-learn
- Contents/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
- Scikit-Learn
- TensorFlow2/Keras2
- SQL
- Git(Github\Gitee),
- Markdown (Typora\Marktext)
- Jupyter Notebook (Visual Studio Code)
- 一门程序语言基础（至少）
- 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 programming skills with at least one language.
We would be very grateful if you post your feedback as an issue or pull request in this GitHub.
The project files will be subjected to modification.