返回到 Advanced Linear Models for Data Science 2: Statistical Linear Models
Advanced Linear Models for Data Science 2: Statistical Linear Models, 约翰霍普金斯大学
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課程信息
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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創建者 ML
•Jan 31, 2017
Good course on applied linear statistical modeling.
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2 個審閱
創建者 Sergio Garofoli
•Jul 23, 2017
Very good... Thanks
創建者 Mark R. Lytell
•Jan 31, 2017
Good course on applied linear statistical modeling.
