Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data transformations. Different books cater to various needs. Some focus on ...

Repository to assist the book "Practical Linear Algebra for Data Science" by Mike X Cohen. This repository is a dedicated resource designed to support readers of the book "Practical Linear Algebra for ...

Immersive Math was developed over the span of three years by a three-man team with academic backgrounds in mathematics, computer graphics, and image coding. The team, who worked on the project on a ...

This repository is the development version of the published book that can be found at https://doi.org/10.59490/tb.88. An interactive, open-access linear algebra ...

Quaternions are a number system that has become increasingly useful for representing the rotations of objects in three-dimensional space and has important applications in theoretical and applied ...

Solving linear programming problems in a spreadsheet yields equations for maximizing business profits. As applied to business, linear programming typically involves an objective formula, such as unit ...