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Advanced Linear Models for Data Science 2: Statistical Linear Models, Johns Hopkins University

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Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following: - A basic understanding of linear algebra and multivariate calculus. - A basic understanding of statistics and regression models. - At least a little familiarity with proof based mathematics. - Basic knowledge of the R programming language. After taking this course, students will have a firm foundation in a linear algebraic treatment of regression modeling. This will greatly augment applied data scientists' general understanding of regression models....

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автор: ML

Jan 31, 2017

Good course on applied linear statistical modeling.

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Рецензии: 2

автор: Sergio Garofoli

Jul 23, 2017

Very good... Thanks

автор: Mark R. Lytell

Jan 31, 2017

Good course on applied linear statistical modeling.