Buy COMP 9417
Machine Learning and Data Mining Assignments
Machine learning can be described as an algorithmic approach to gaining information from data. In this course, students learn the primary methids used to mine data, the theoretical background of the technology, and how they are used.
Topics covered are: relational learning (inductive logic programming), kernel methods, learning via neural networks, decision tree algorithms (for example C4.5), ensemble learning, model tree and regression algorithms, clustered/unsupervised learning, rule learning (for example association rules), learning without algorithms, lazy learning, model selection and Bayesian learning, version spaces, performance assessment of machine learning algorithms.
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