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 'mining' 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%