Crash Course in Linear Algebra for Data Scientists

v 0.0.2

Goals

Provide a basic approach to Linear Algebra which is more thoroughly motivated for Data Scientists.

This approach emphasizes the spectral aspects of the theory. It is designed to be used as a supplement by a teacher who is emphasizing what students need to know.

Non-Goals

This is not an abstract algebra driven course. It has no intentions of covering all of the aspects of the theory.

This will probably not be a standalone replacement for actually having a teacher.

Tentative Outline

1. Basic Operation
2. Vector Spaces
3. PCA and Regression
4. Linear Transformations
5. Invertible Matrix Theorem
6. Graph Representations

Check out the ipython notebooks for the actual sections.