Explore >> Select a destination
|
You are here 
|
peterbloem.nl | ||
| | | | |
qchu.wordpress.com
|
|
| | | | | As a warm-up to the subject of this blog post, consider the problem of how to classify$latex n \times m$ matrices $latex M \in \mathbb{R}^{n \times m}$ up to change of basis in both the source ($latex \mathbb{R}^m$) and the target ($latex \mathbb{R}^n$). In other words, the problem is todescribe the equivalence classes of the... | |
| | | | |
thomvolker.github.io
|
|
| | | | | Many different ways of calculating OLS regression coefficients exist, but some ways are more efficient than others. In this post we discuss some of the most common ways of calculating OLS regression coefficients, and how they relate to each other. Throughout, I assume some knowledge of linear algebra (i.e., the ability to multiply matrices), but other than that, I tried to simplify everything as much as possible. | |
| | | | |
www.aleksandrhovhannisyan.com
|
|
| | | | | Some systems of equations do not have a unique solution, but we can find an approximate solution using the method of least squares. Applications of this method include linear and polynomial regression. | |
| | | | |
dennybritz.com
|
|
| | | All the code is also available as an Jupyter notebook on Github. | ||
