MAT8034: Machine Learning

Southern University of Science and Technology, Spring 2025

Teaching Staff

	name	email	office hour
Instructor	Fang Kong	kongf@sustech.edu.cn	Wed 10-12 AM Room 315, Business School Building
Chief TA	Yunshan Li	12331105@mail.sustech.edu.cn	Thur 2-4 PM Room 342, Business School Building
TA	Qiqian Li	12431478@mail.sustech.edu.cn	Thur 2-4 PM Room 337, Business School Building
	Haoran Tang	12432698@mail.sustech.edu.cn	Wed 2:30-4:30 PM Room 648, College of Engineering, South Tower

News

• [Mar 19] Assignment 1 has been released. Please submit your solutions by April 10.
• [Mar 12] The final project is released. Please register your group information before Mar 23 and submit the proposal before Apr 6.

Course Information

Lecture times: Wed 7:00-9:50 PM at Business School Building 101

Grading: Final exam (40%), project (40%), and assignments (20%)

References:

• CS229 Machine Learning by Stanford [Lecture notes link]
• Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto
• Pattern Recognition and Machine Learning by Christopher M. Bishop
• Elements of Statistical Learning by Travor Hastie, Robert Tibshirani, Jerome Friedman

Schedule

week	date	topic	materials
1	Feb 19	1 Introduction	pdf
		2 Linear Regression	pdf
2	Feb 26	3 Classification	pdf
		4 Generalized Linear Models	pdf
3	Mar 5	5 Generative Learning Algorithms	pdf
4	Mar 12	6 Kernel Methods	pdf
		7 Support Vector Machines	pdf
5	Mar 19	8 Deep Learning	pdf
6	Mar 26	9 Generalization	pdf
7	Apr 2	10 Regularization and Model Selection	pdf
		11 Clustering and K-means	pdf
8	Apr 9	12 EM Algorithms	pdf
9	Apr 16	13 Principal Components Analysis	pdf
		14 Independent Components Analysis	pdf
10	Apr 23	15 Markov Decision Processes I	pdf
		16 Markov Decision Processes II	pdf
11	Apr 30	17 Bandits	pdf
		18 Reinforcement Learning	pdf
12	May 7	19 Reinforcement Learning II	pdf
13	May 14	20 Deep Reinforcement Learning	pdf
14	May 21	Final Review	pdf
15	May 28	Final Presentation
16	Jun 4	Final Presentation