CS 446

CS 446 - Machine Learning

Spring 2025

Title	Rubric	Section	CRN	Type	Hours	Times	Days	Location	Instructor
Machine Learning	CS446	CSP	68039	PKG	3	-			Liangyan Gui
Machine Learning	CS446	CSP	68039	PKG	3	-		Illini Center	Liangyan Gui
Machine Learning	CS446	DSO	62698	ONL	4	-			Liangyan Gui
Machine Learning	CS446	MCS	68040	PKG	4	-		Illini Center	Liangyan Gui
Machine Learning	CS446	MCS	68040	PKG	4	-			Liangyan Gui
Machine Learning	CS446	PG	39433	LCD	3	0930 - 1045	T R	1404 Siebel Center for Comp Sci	Tong Zhang
Machine Learning	CS446	PU	31421	LCD	3	0930 - 1045	T R	1404 Siebel Center for Comp Sci	Tong Zhang
Machine Learning	ECE449	PG	70857	LCD	3	0930 - 1045	T R	1404 Siebel Center for Comp Sci	Tong Zhang
Machine Learning	ECE449	PU	70856	LCD	3	0930 - 1045	T R	1404 Siebel Center for Comp Sci	Tong Zhang

See full schedule from Course Explorer

Web Page

https://courses.grainger.illinois.edu/cs446/sp2022/

Official Description

Principles and applications of machine learning. Main paradigms and techniques, including discriminative and generative methods, reinforcement learning: linear regression, logistic regression, support vector machines, deep nets, structured methods, dimensionality reduction, k-means, Gaussian mixtures, expectation maximization, Markov decision processes, and Q-learning. Application areas such as natural language and text understanding, speech recognition, computer vision, data mining, and adaptive computer systems, among others. Course Information: Same as ECE 449. 3 undergraduate hours. 3 or 4 graduate hours. Prerequisite: CS 225; One of MATH 225, MATH 257, MATH 415, MATH 416, ASRM 406 or BIOE 210; one of CS 361, STAT 361, ECE 313, MATH 362, MATH 461, MATH 463, STAT 400 or BIOE 310.

Subject Area

Computational Materials