Jul 11, 2020  
2018-2019 Faculty of Engineering and Applied Science Calendar 
    
2018-2019 Faculty of Engineering and Applied Science Calendar [ARCHIVED CATALOG]

Add to Portfolio (opens a new window)

ELEC 425 Machine Learning and Deep Learning F | 3.5


Lecture: 3
Lab: 0.25
Tutorial: 0.25
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.

Academic Units:
Mathematics 11
Natural Sciences 0
Complementary Studies 0
Engineering Science 20
Engineering Design 11

PREREQUISITE(S): ELEC 278   or CISC 235, ELEC 326   or permission of the instructor
EXCLUSION(S): CMPE 452  



Add to Portfolio (opens a new window)