존스홉킨스대학교의 Advanced Linear Models for Data Science 2: Statistical Linear Models 학습자 리뷰 및 피드백
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....
Advanced Linear Models for Data Science 2: Statistical Linear Models의 3개 리뷰 중 1~3
교육 기관: Pawel P
Apr 18, 2019
Very informative and interesting.
교육 기관: Sergio G
Jul 23, 2017
Very good... Thanks
교육 기관: Mark R L
Jan 31, 2017
Good course on applied linear statistical modeling.