Machine Learning

Prerequisite(s): CSIT 528, equivalent prior knowledge or course in statistics. Restriction(s): Only open to students in the School of Computing. Machine learning is a very active field, where one wants to program computers to automatically extract useful information from data to solve a given problem (e.g., learn to recognize human faces, recommend music and movies, and drive autonomous robots). This course is a gentle introduction to modern machine learning. The course aims to strike a balance between at theory and practical applications. Some key concepts behind several machine learning algorithms will be explored.

Term 202440 #44516 CSIT598
Permalink:
Meeting Times
Location: CCIS 133 (M)
@ 17:30 - 20:00
From 2024-09-04 to 2024-12-20
Enrollment

66

seats available

19

currently enrolled

85

maximum enrollment
Term 202440 #46496 CSIT598
Permalink:
Meeting Times
Location: CELS 120 (M)
@ 10:45 - 13:15
From 2024-09-04 to 2024-12-20
Enrollment

35

seats available

50

currently enrolled

85

maximum enrollment

Section Tally

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