Chevron Left
Retour à Advanced Linear Models for Data Science 1: Least Squares

Avis et commentaires pour l'étudiant pour Advanced Linear Models for Data Science 1: Least Squares par Université Johns-Hopkins

4.4
101 notes
24 avis

À propos du cours

Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. 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....

Meilleurs avis

DL

Jun 08, 2016

We need more advanced, theoretical courses on Coursera, like this one, in order to deeply understand the more general courses like Regression Models and Linear Models.

SP

Apr 30, 2017

Good mathematical rigour for the analysis of linear models. Builds some good intuition for the geometry of least squares which helps in model result interpretation.

Filtrer par :

1 - 24 sur 24 Examens pour Advanced Linear Models for Data Science 1: Least Squares

par Andrea G

Feb 11, 2018

par 黃華興

Mar 21, 2017

par Hernán M

Jun 12, 2016

par Chad W L

Apr 17, 2018

par Debarya J

Apr 23, 2017

par Sarvesh P

Apr 30, 2017

par Do H L

Jun 08, 2016

par John C

Mar 05, 2018

par Dmitriy

Apr 25, 2017

par Lyu m

Sep 18, 2016

par Herson N M

Dec 18, 2016

par Srikanth K S

Sep 27, 2016

par Roney A B

Jun 06, 2017

par Zitong W

Feb 15, 2019

par AC

Jul 29, 2017

par Richard M

Feb 24, 2017

par Jens L R

Nov 07, 2017

par Xinpeng H

May 07, 2017

par Jerome M

May 09, 2017

par Gustavo F

Sep 10, 2019

par Ryan G

Jun 12, 2019

par Harold S

Jul 31, 2016

par Emanuel N

Mar 09, 2019

par Francisco R A

Nov 04, 2017