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
188 responses
4.44
/ 5
Clear Expectations
101 responses
4.40
/ 5
Learned a Lot
187 responses
4.39
/ 5
Recommend
86 responses
4.48
/ 5
Workload
85 responses
2.53
/ 5
Fair Assessments
188 responses