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Pawel Sarkowicz
2026-03-31 16:05:58 -04:00
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@@ -4,7 +4,9 @@ A practical, linear-algebra-first introduction to data science.
This repository demonstrates how core linear algebra concepts -- least squares, matrix decompositions, and spectral methods -- directly power modern data science and machine learning workflows. We finish off with a mini-project involving image denoising using the truncated SVD.
Rather than treating data science as a collection of tools, this project builds everything from first principles and connects theory to implementation through jupyter notebooks.
Rather than treating data science as a collection of tools, this project builds everything from first principles and connects theory to implementation through jupyter notebooks.
The compiled notebooks in this project can be viewed as a single webpage on my [website](https://pawelsarkowicz.xyz/posts/ds_for_la).
## Structure