• Course Code: CMPS657
  • Credits: 3
  • Hours Distribution: (3crs.: 3lec.)
  • Course Type: Elective Courses (EC)

Course Description

This course covers the theory and practical algorithms for machine learning from a variety of perspectives. Topics include Bayesian networks, multi-layer neural networks, decision tree learning, Support Vector Machines, statistical learning methods, unsupervised learning and reinforcement learning.