CSI 5155 Machine Learning
3 units
Computer Science
Faculty of Engineering
Concepts, techniques, and algorithms in machine learning; representation, regularization and generalization; supervised learning; unsupervised learning; advanced methods such as support vector machines, online algorithms, neural networks, hidden Markov models, and Bayesian networks; curse of dimensionality and large-scale machine learning. Category T in course list. This course is equivalent to COMP 5116 at Carleton University.
Components:
Lecture
Requirements:
Previously Offered Terms:
Fall
Winter
French Equivalent:
All Professors
A Average (8.806)
Most Common: A+ (46%)
217 students
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D
C
B
A-
A+
Unknown Professors
2 sections from Fall 2022 to Fall 2023
A- Average (8.071)
Most Common: A+ (36%)
14 students
F
D
C
B
A-
A+