# Machine Learning/NBML/Linear Algebra

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=== Resources === | === Resources === | ||

− | *Gilbert Strang has [http://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/video-lectures/ a set of video lectures] on the MIT Open Courseware page that are helpful | + | *Gilbert Strang has [http://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/video-lectures/ a set of video lectures] on the MIT Open Courseware page that are helpful. |

## Latest revision as of 09:54, 6 January 2011

### [edit] Introduction

Linear algebra is fundamental to machine learning. The representation of data is typically embodied in vectors, and the transformations of that data in matricies.

### [edit] Resources

- Gilbert Strang has a set of video lectures on the MIT Open Courseware page that are helpful.