Michigan State University 3 credits Computational Mathematics, Science, & Engineering
Survey of machine learning techniques ranging from classic methods through deep learning. Emphasis is on the machine learning workflow that begins with exploratory data analysis and ends with method-specific performance metrics and visualization. Instruction is through a partially flipped classroom design that includes group-based in-class assignments, culminating in a final project. Students are invited to design their projects based on their thesis topics and potentially publish their results. Prerequisite: {(CMSE 801 or approval of department) and (CMSE 802 or approval of department)} or (CMSE 201 and CMSE 202 or approval of department).
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