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:
Organized
163 responses
4.38
/ 5
Clear Expectations
77 responses
4.30
/ 5
Learned a Lot
162 responses
4.34
/ 5
Recommend
86 responses
4.48
/ 5
Workload
85 responses
2.53
/ 5
Fair Assessments
163 responses