The University of Texas at Austin 3 credits Statistics and Data Sciences
Introduction to machine learning for data science with an emphasis on Python programming. Explore comparing algorithm performance; decision-tree algorithms; classification algorithms; model averaging; unsupervised learning; and neural networks. The equivalent of three lecture hours a week for one semester. Pre/Corequisites: Statistics and Data Sciences 334 with a grade of at least C-; and registration for or a grade of at least C- in Computer Science 327E.
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