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Expand Up @@ -6,11 +6,8 @@ This course was taught in the [University of San Francisco's Masters of Science

Accompanying the notebooks is a [playlist of lecture videos, available on YouTube](https://www.youtube.com/playlist?list=PLtmWHNX-gukIc92m1K0P6bIOnZb-mg0hY). If you are ever confused by a lecture or it goes too quickly, check out the beginning of the next video, where I review concepts from the previous lecture, often explaining things from a new perspective or with different illustrations, and answer questions.

## Getting Help
You can ask questions or share your thoughts and resources using the [**Computational Linear Algebra** category on our fast.ai discussion forums](http://forums.fast.ai/c/lin-alg).

## Table of Contents
The following listing links to the notebooks in this repository, rendered through the [nbviewer](http://nbviewer.jupyter.org) service. Topics Covered:

### [0. Course Logistics](https://nbviewer.jupyter.org/github/fastai/numerical-linear-algebra/blob/master/nbs/0.%20Course%20Logistics.ipynb) ([Video 1](https://www.youtube.com/watch?v=8iGzBMboA0I&index=1&list=PLtmWHNX-gukIc92m1K0P6bIOnZb-mg0hY))
- [My background](https://nbviewer.jupyter.org/github/fastai/numerical-linear-algebra/blob/master/nbs/0.%20Course%20Logistics.ipynb#Intro)
- [Teaching Approach](https://nbviewer.jupyter.org/github/fastai/numerical-linear-algebra/blob/master/nbs/0.%20Course%20Logistics.ipynb#Teaching)
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