Embedded Files
Schedule
Schedule
Lecture slides will be posted here shortly before each lecture.
Coursework
Coursework
Assignments (40%)
Assignments (40%)
- There are four assignments, which will improve both your theoretical understanding and your practical skills.
Course Project (60%)
Course Project (60%)
The course project offers you the chance to apply your newly acquired machine learning skills to solve a real problem. Students have two options: the Default Project (in which students tackle a predefined task at Kaggle or a Custom Project (in which students choose their own research problem).
- Deadlines:
- Proposal (6th week)
- Midterm report (9th week)
- Poster presentation (16th week)
- Final report and the implementation code (18th week)
- Default project: http://www.kaggle.com/competitions
- Project advice: Check out the CS224n Practical Tips for Final Projects Notes.
- Instructions: All reports should be in NeurIPS format, written in English: (https://nips.cc/Conferences/2019/PaperInformation/StyleFiles)
Staff information
Staff information
Feedback
Feedback
Your helpful feedback is much valued and will help us to improve the course quality.
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