Advanced Linear Models for Data Science 2: Statistical Linear Models に戻る
Advanced Linear Models for Data Science 2: Statistical Linear Models, ジョンズ・ホプキンズ大学（Johns Hopkins University）
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このコースについて
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.
人気のレビュー
by ML
•Jan 31, 2017
Good course on applied linear statistical modeling.
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3件のレビュー
by Pawel Piela
•Apr 18, 2019
Very informative and interesting.
by Sergio Garofoli
•Jul 23, 2017
Very good... Thanks
by Mark R. Lytell
•Jan 31, 2017
Good course on applied linear statistical modeling.
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