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as of 9/16/2019

MACHINE LEARNING AND DATA MINING
Country - Partner Institution - Programs: Australia - University of New South Wales - 'Australian Universities'
UC Course SubjectComputer Science
Number & Suffix: 122
Full UC Title: MACHINE LEARNING AND DATA MINING 
Transcript Title: MACHINE&DATA MINING 
UC QTR Units - Division: 6.0 - Upper Division 
Course Description: Machine learning is the algorithmic approach to learning from data. This course covers the key techniques in data mining technology, gives their theoretical background and shows their application. Topics include: decision tree algorithms (such as C4.5), regression and model tree algorithms, neural network learning, rule learning (such as association rules), lazy learning, version spaces, evaluating the performance of machine learning algorithms, Bayesian learning and model selection, algorithm-independent learning, ensemble learning, kernel methods, unsupervised learning (such as clustering) and inductive logic programming (relational learning). 
Language of Instruction: English
 
Partner Title: MACHINE LEARNING AND DATA MINING 
Partner University Department: Computer Science and Engineering 
Partner University Course Number: COMP9417