Representation of Data: Machine learning models operate on data, which is often represented as matrices and vectors. Linear algebra provides the mathematical framework to manipulate and process this ...

Advanced linear algebra forms the backbone of many sophisticated algorithms in data science and machine learning. It enables us to manipulate high-dimensional data, extract meaningful patterns, and ...

The book is an introduction to Linear Algebra with an account of its principal applications. It is addressed to students of mathematics, the physical, engineering and social sciences, and commerce.

These are some notes I've written to try to teach linear algebra and related aspects of linear differential equations to students of theoretical neuroscience. I've also included a nice set of notes ...

A First Course in Linear Algebra is written by two experts from algebra who have more than 20 years of experience in algebra, linear algebra and number theory. It prepares students with no background ...

Hadamard Matrices: Constructions using Number Theory and Algebra provides students with a discussion of the basic definitions used for Hadamard Matrices as well as more advanced topics in the subject, ...

What is this course about? This module offers an introduction to linear algebra which is essentially a set of notational conventions and operations which allow you to manipulate large systems of ...