This is the material for when I (Julien Arino) am teaching the course.

View the Project on GitHub julien-arino/math-of-data-science

On the GitHub version of the page, you have access to all the files. You can also download the entire repository by clicking the buttons on the left. (You can also of course clone this repo, but you will need to do that from the GitHub version of the site.)

Feel free to use the material in these slides or in the folders. If you find this useful, I will be happy to know.

(`.ipynb`

files need to be run in a jupyter notebook.)

- MATH2740-slides-00-course-organisation
- MATH2740-slides-01-what-is-data-science-and-why-math
- MATH2740-slides-02-review-linear-algebra
- MATH2740-slides-03-setting-things-up-for-the-course
- MATH2740-slides-04-Canada-census
- MATH2740-slides-04-Canada-census
- MATH2740-slides-05-least-squares
- MATH2740-slides-05-least-squares
- MATH2740-slides-06-matrix-methods
- MATH2740-slides-07-graphs
- MATH2740-slides-08-graph-measures
- MATH2740-slides-09-clustering
- MATH2740-slides-10-Pagerank

Some lecture notes are available here. Beware: these are not complete!

The videos for the course are available on YouTube as a playlist. Note that the videos are far from perfect.. the slides and the videos will be reworked prior to the next instance of the course (although the latter will hopefully be taught in person).