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@@ -18,7 +18,7 @@ If you're coming from a Matlab background, you can quickly get up to speed with
### Math skills
Computational neuroscience and neural data analysis relies on linear algebra, probability, basic statistics, and calculus (derivates and ODEs).
Deep learning relies on linear algebra, probability, basic statistics, and calculus (derivates and ODEs).
We highly recommend going through our refreshers on linear algebra, calculus, and statistics (W0D3, W0D4, W0D5 [here](https://compneuro.neuromatch.io/)). You will be able to ask questions on discord before the course starts. Note that these have a neuroscience focus in the examples used but the math basics will be extremely useful for the deep learning course.
