Concepts and Applications of Machine Learning

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DS 2010, DS 2020, MATH 2070, MATH 2650, and STAT 3201Machine learning concepts such as training and test sets; feature extraction; principles of machine learning techniques; regression; pattern recognition methods; unsupervised learning techniques; assessment and diagnostics: overfitting, error rates, residual analysis, model assumptions checking, feature selection; ethical issues in data science; communicating findings to stakeholders in written, oral, visual and electronic form. (Typically Off→DS 3030→unlocks 0 courses

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