The aim of the course is to introduce the relevance of machine learning in a wide range of academic and industrial problems relevant to various engineering disciplines. Topics of the sessions will include the basics of widely used algorithms for linear and non-linear regressions such as elastic net, principal component regression, support vector machine, and neural networks.
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