返回到 Advanced Linear Models for Data Science 2: Statistical Linear Models
Advanced Linear Models for Data Science 2: Statistical Linear Models, Johns Hopkins University
4.7
25 个评分
课程信息
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.
热门审阅
创建者 ML
•Jan 31, 2017
Good course on applied linear statistical modeling.
筛选依据：
2 个审阅
创建者 Sergio Garofoli
•Jul 23, 2017
Very good... Thanks
创建者 Mark R. Lytell
•Jan 31, 2017
Good course on applied linear statistical modeling.
