|
You are here |
hadrienj.github.io | ||
| | | | |
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. | |
| | | | |
nhigham.com
|
|
| | | | | The pseudoinverse is an extension of the concept of the inverse of a nonsingular square matrix to singular matrices and rectangular matrices. It is one of many generalized inverses, but the one most useful in practice as it has a number of special properties. The pseudoinverse of a matrix $latex A\in\mathbb{C}^{m\times n}$ is an $latex... | |
| | | | |
matthewmcateer.me
|
|
| | | | | Important mathematical prerequisites for getting into Machine Learning, Deep Learning, or any of the other space | |
| | | | |
michael-lewis.com
|
|
| | | This is a short summary of some of the terminology used in machine learning, with an emphasis on neural networks. I've put it together primarily to help my own understanding, phrasing it largely in non-mathematical terms. As such it may be of use to others who come from more of a programming than a mathematical background. | ||