Machine Learning and Artificial Intelligence: Principles and Techniques
Course details
- Location: LT 4 (SPMS-03-09)
Exception: LT 1 (SPMS-04-07) on November 11
- Time: Wednesdays, 18:30-22:00
Contact information
Assessments
- Quizzes on December 16 and February 10 (each 30% of final grade)
- Group project (40% of final grade)
Project details
tba
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.
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
- F. Bach, Learning Theory from First Principles, 2024, MIT Press, link