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I designed and have been teaching P9120-"Topics in Statistical Learning and Data Mining" since Fall 2012. This course is generally intended for Biostatistics PhD students in their second year or higher. Methodologically inclined DrPH or MS students of Biostatistics, or graduate students from other departments may be allowed to take the course at Instructors’ permission. Students are expected to have a strong background in calculus and linear algebra, linear and logistic regression models, probability theory and statistical inference. Some working knowledge of optimization techniques and familiarity with R or Matlab programming would be desirable. A copy of the syllabus can be found here.
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