Course details

• Coordinator: Florian Rossmannek
• Lecturers: Florian Rossmannek, Juntao Yang^a, Xu Quanqing^b, Wilson Goh^c
• Location: always SPMS-LT4 except final lecture in SPMS-LT3
• Dates: March 4, 11, 18, 25, April 1, 8, 15^a, 22^a, 29^a, May 13^b, 14^b, 20^c, 25
• Time: always 6:30-10pm

Contact information

• florian.rossmannek@ntu.edu.sg
• yjuntao@nvidia.com
• xuquanqing@gmail.com
• wilsongoh@ntu.edu.sg

Assessments

• Quizzes on April 8 and May 25 (each 30% of final grade)
• Group project (40% of final grade)

Lecture material

The slides will be uploaded on a rolling basis on NTU Learn. The Jupyter notebooks can be accessed online in Google Colab through the links below. If you want to open them locally on your computer, you can download them as well as the datasets from NTU Learn.

Jupyter Notebooks

References

• M. Mohri, A. Rostamizadeh, and A. Talwalkar, Foundations of Machine Learning, Second Edition, 2018, MIT Press, link
• S. Shalev-Shwartz and S. Ben-David, Understanding Machine Learning: From Theory to Algorithms, 2014, MIT Press, link