# Machine Learning/NBML/Linear Algebra

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− | + | === 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. | ||

+ | |||

+ | === 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: |

## Revision as of 09:54, 6 January 2011

### 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.

### Resources

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