Big Data and Machine Intelligence, Spring 2024.
The English Version is here.
General weekly teaching schedule: Teaching Schedule Teaching Schedule
Course Development History: Course History Course History
Online course MooC 150-10243(in Chinese)
Instructor: Zhen Chen, Min Guo, Yisong Zhang , Xiaodong Ma, Haoyu Wang, Yin Gao
TAs: Kai-Wen Men
- Logistics/ Check-in and team building
- Contents/Computing/ Python-Algorithm-Machine Learning Materials
- Contents/DataSystem/ Data System-Data Management and SQL
- Contents/MachingLearning/Machine Learning and Scikit-learn
- Contents/DeepLearning/ Deep Learning-Machine Intelligence and TensorFlow
- Schedule teaching arrangement
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- Part1/WWn/ WW1-WW9, teaching arrangement for the first 9 weeks
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- Part2/WWn/ WW10-WW15, teaching arrangements for the next 9 weeks
- Course-Projects/ course practical tasks
- Readings/ Paper materials for extracurricular reading of the course
- Memos
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- Study-Memo/ Course Summary
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- Memo-Summary/ Course Summary-Summary Outline
- Python3
- Scikit-Learn
- TensorFlow2/Keras2
- SQL
- Git(Github\Gitee),
- Markdown (Typora\Marktext)
- Jupyter Notebook (Visual Studio Code)
- Basic knowledge of a programming language (at least)
- Calculus, linear algebra, basics of probability theory
- You need to bring your own laptop to class
Course-related questions and suggestions can be raised under Issues in the warehouse, and teachers and teaching assistants will respond and answer them.
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.