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This course teaches regression, which is one of the most important and broadly used machine learning, statistics, and data science tools, having many applications in diverse areas ranging from finance to biology. Students will study making predictions from data by learning the relationship between features of input data and some observed, continuous-valued response. This course will cover many algorithms including Simple Linear Regression, Multiple Regression, Polynomial Regression, and relevant cost functions (RSS, MSAE). Students will gain knowledge of methods and systems for implementing regression for solving real-world problems.
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