ELEC 425 Machine Learning and Deep Learning
Supervised and unsupervised machine learning methods for regression, classification, clustering, and time series modeling. Methods of fitting models. The problem of overfitting and techniques for addressing it. Deep learning and neural network models. Processes for how to refine/ implement/ test applications of machine/deep learning algorithms.
The Department of Electrical and Computer Engineering is housed in Walter Light Hall which provides over 5,400 square meters of modern research, teaching and classroom facilities. The building is linked to Goodwin Hall which houses the School of Computing. Additional space for undergraduate laboratories and research is located in Beamish-Munro Hall.
All courses except ELEC 898 , ELEC 899 and ELEC 999 are 3.0 credit units. Not all courses are offered every year.
...only) APSC 221; ELEC 470; ELEC 474; CHEE...326/3.0; NURS 425/3.0 (Certificate...