Advanced Linear Models for Data Science 1: Least Squares
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.
Watch on Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
Related AI Lessons
⚡
⚡
⚡
⚡
7 Common Java Streams Mistakes and How to Avoid Them
Medium · Programming
Implementing an Item-Based Recommendation System from Scratch in Python
Medium · Machine Learning
Implementing an Item-Based Recommendation System from Scratch in Python
Medium · Data Science
The Threshold Is a Business Decision, Not a Statistical One
Medium · Machine Learning
🎓
Tutor Explanation
DeepCamp AI