CTIS 471 Introduction to Applied Machine Learning
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Definition, motivation and applications of machine learning. Supervised methods: linear regression, decision trees, support vector machines, and artificial neural networks. Unsupervised methods with clustering algorithms. Learning theory. Performance metrics of machine learning methods.
Credit units: 3 ECTS Credit units: 5, Prerequisite:
CTIS 310.
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