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Machine learning (ML) and, more broadly, artificial intelligence can now be used to perform complex tasks in data science and social science. This course introduces students to a variety of these machine learning techniques. Students will learn the fundamentals of statistical software used for ML and develop an understanding of statistical and mathematical foundations of ML. Students will implement these techniques using open source tools in R and Python. Further, students will learn how to select an appropriate ML tool depending on the dataset they have and the question to be answered. Prerequisite: 470.681 Probability and Statistics and 470.768 Programming and Data Management (470.768 may be taken concurrently with 470.667).