CSE3320

Machine learning

(IT)

Not offered in 2001

6 points + Two 1-hour lectures per week + Second semester + Clayton + Corequisites: CSE2309 or CSE3309 or CSC2091 or CSC3091

Synopsis: Contending approaches to the computational modelling of learning, the applications to which they are suited and their growing use in /mining0 the data in very large corporate and governmental databases. Topics include the need for extracting patterns from databases to support business decision making; the nature of learning and its computational modelling; symbolic approaches to machine learning; scientific discovery; information-theoretic classification; Bayesian learning; minimum encoding methods; evolutionary methods and artificial life; neural networks.

Assessment: Examination (3 hours): 50% + Programming project: 50%