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Machine Learning (IS712)

Course description

Machine Learning is concerned with computer programs that automatically improve their performance through experience (e.g., learning to recognize speech, classify text documents, detect credit card fraud, or drive autonomous robots).  This course covers the theory and practical algorithms for machine learning from a variety of perspectives. We will cover topics such as decision tree learning, support vector machine and kernel methods, Bayesian learning, online learning, clustering and dimensi...


Pre-requisites

Seminar Required

Graded, 1.0 Credit Units


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