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Advanced Linear Models for Data Science 2: Statistical Linear Models(으)로 돌아가기

Advanced Linear Models for Data Science 2: Statistical Linear Models, 존스홉킨스대학교

4.7
(29개의 평가)

About this Course

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....

최상위 리뷰

대학: ML

Jan 31, 2017

Good course on applied linear statistical modeling.

필터링 기준:

3개의 리뷰

대학: Pawel Piela

Apr 18, 2019

Very informative and interesting.

대학: Sergio Garofoli

Jul 23, 2017

Very good... Thanks

대학: Mark R. Lytell

Jan 31, 2017

Good course on applied linear statistical modeling.