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The class discusses the application of machine learning methods like svms, random forests, gradient boosting and neural networks on real world dataset, including data preparation, model selection and. Working with text/taghelper (jackson & moulinier, ch 1,3) [oct 16, 18] week 8. This is a tentative syllabus and schedule. A list of topics covered in the course is presented in the calendar.
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