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The course covers foundational mathematical concepts fundamental to data science. It builds upon the basic concepts in ²Ñ´¡Ìý326 and develops theory for a range of central data science techniques. The course includes the following topics: Optimization algorithms, neural networks, graph-based models and generative learning. These algorithms will be explored computationally using Python and practical data sets.

Prerequisite: ²Ñ´¡Ìý326

Typically offered in Fall only